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https://github.com/JackHCC/Arxiv-NLP-Reporter
每日自动获取Arxiv上NLP相关最新论文【Arxiv Natural Language Processing Paper Automatic Crawl Daily】
https://github.com/JackHCC/Arxiv-NLP-Reporter
arxiv automation nlp
Last synced: about 1 month ago
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每日自动获取Arxiv上NLP相关最新论文【Arxiv Natural Language Processing Paper Automatic Crawl Daily】
- Host: GitHub
- URL: https://github.com/JackHCC/Arxiv-NLP-Reporter
- Owner: JackHCC
- Created: 2022-01-14T05:02:09.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2022-04-12T12:01:01.000Z (over 2 years ago)
- Last Synced: 2024-08-02T00:21:34.973Z (4 months ago)
- Topics: arxiv, automation, nlp
- Language: Python
- Homepage: https://blog.creativecc.cn/Arxiv-NLP-Reporter/
- Size: 3.95 MB
- Stars: 15
- Watchers: 1
- Forks: 3
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- NLP-Bubble - Arxiv NLP Reporter
README
## Updated on 2022.04.12
## NLP
|Publish Date|Title|Authors|PDF|Code|
|---|---|---|---|---|
|**2022-04-11**|**Survey of Aspect-based Sentiment Analysis Datasets**|Siva Uday Sampreeth Chebolu et.al.|[2204.05232v1](http://arxiv.org/abs/2204.05232v1)|null|
|**2022-04-11**|**"FIJO": a French Insurance Soft Skill Detection Dataset**|David Beauchemin et.al.|[2204.05208v1](http://arxiv.org/abs/2204.05208v1)|**[link](https://github.com/iid-ulaval/fijo-code)**|
|**2022-04-11**|**Resources for Turkish Natural Language Processing: A critical survey**|Çağrı Çöltekin et.al.|[2204.05042v1](http://arxiv.org/abs/2204.05042v1)|null|
|**2022-04-11**|**A Survey on Legal Judgment Prediction: Datasets, Metrics, Models and Challenges**|Junyun Cui et.al.|[2204.04859v1](http://arxiv.org/abs/2204.04859v1)|null|
|**2022-04-10**|**Fake news detection using parallel BERT deep neural networks**|Mahmood Farokhian et.al.|[2204.04793v1](http://arxiv.org/abs/2204.04793v1)|null|
|**2022-04-10**|**ClioQuery: Interactive Query-Oriented Text Analytics for Comprehensive Investigation of Historical News Archives**|Abram Handler et.al.|[2204.04694v1](http://arxiv.org/abs/2204.04694v1)|null|
|**2022-04-10**|**"That Is a Suspicious Reaction!": Interpreting Logits Variation to Detect NLP Adversarial Attacks**|Edoardo Mosca et.al.|[2204.04636v1](http://arxiv.org/abs/2204.04636v1)|null|
|**2022-04-09**|**KOBEST: Korean Balanced Evaluation of Significant Tasks**|Dohyeong Kim et.al.|[2204.04541v1](http://arxiv.org/abs/2204.04541v1)|null|
|**2022-04-09**|**Uninformative Input Features and Counterfactual Invariance: Two Perspectives on Spurious Correlations in Natural Language**|Jacob Eisenstein et.al.|[2204.04487v1](http://arxiv.org/abs/2204.04487v1)|null|
|**2022-04-09**|**Modeling Multi-Granularity Hierarchical Features for Relation Extraction**|Xinnian Liang et.al.|[2204.04437v1](http://arxiv.org/abs/2204.04437v1)|**[link](https://github.com/xnliang98/sms)**|
|**2022-04-08**|**Identifying Experts in Question \& Answer Portals: A Case Study on Data Science Competencies in Reddit**|Sofia Strukova et.al.|[2204.04098v1](http://arxiv.org/abs/2204.04098v1)|null|
|**2022-04-08**|**Checking HateCheck: a cross-functional analysis of behaviour-aware learning for hate speech detection**|Pedro Henrique Luz de Araujo et.al.|[2204.04042v1](http://arxiv.org/abs/2204.04042v1)|**[link](https://github.com/peluz/checking-hatecheck-code)**|
|**2022-04-08**|**BioBART: Pretraining and Evaluation of A Biomedical Generative Language Model**|Hongyi Yuan et.al.|[2204.03905v1](http://arxiv.org/abs/2204.03905v1)|**[link](https://github.com/GanjinZero/BioBART)**|
|**2022-04-07**|**T4PdM: a Deep Neural Network based on the Transformer Architecture for Fault Diagnosis of Rotating Machinery**|Erick Giovani Sperandio Nascimento et.al.|[2204.03725v1](http://arxiv.org/abs/2204.03725v1)|null|
|**2022-04-07**|**Mapping the Multilingual Margins: Intersectional Biases of Sentiment Analysis Systems in English, Spanish, and Arabic**|António Câmara et.al.|[2204.03558v1](http://arxiv.org/abs/2204.03558v1)|null|
|**2022-04-07**|**A Survey of Multi-task Learning in Natural Language Processing: Regarding Task Relatedness and Training Methods**|Zhihan Zhang et.al.|[2204.03508v1](http://arxiv.org/abs/2204.03508v1)|null|
|**2022-04-07**|**BERTuit: Understanding Spanish language in Twitter through a native transformer**|Javier Huertas-Tato et.al.|[2204.03465v1](http://arxiv.org/abs/2204.03465v1)|null|
|**2022-04-08**|**Accelerating Attention through Gradient-Based Learned Runtime Pruning**|Zheng Li et.al.|[2204.03227v2](http://arxiv.org/abs/2204.03227v2)|null|
|**2022-04-07**|**Transformer-Based Language Models for Software Vulnerability Detection: Performance, Model's Security and Platforms**|Chandra Thapa et.al.|[2204.03214v1](http://arxiv.org/abs/2204.03214v1)|null|
|**2022-04-06**|**Hierarchical Annotation for Building A Suite of Clinical Natural Language Processing Tasks: Progress Note Understanding**|Yanjun Gao et.al.|[2204.03035v1](http://arxiv.org/abs/2204.03035v1)|null|
|**2022-04-06**|**Paying More Attention to Self-attention: Improving Pre-trained Language Models via Attention Guiding**|Shanshan Wang et.al.|[2204.02922v1](http://arxiv.org/abs/2204.02922v1)|null|
|**2022-04-07**|**A survey on recently proposed activation functions for Deep Learning**|Murilo Gustineli et.al.|[2204.02921v2](http://arxiv.org/abs/2204.02921v2)|null|
|**2022-04-06**|**Sub-Task Decomposition Enables Learning in Sequence to Sequence Tasks**|Noam Wies et.al.|[2204.02892v1](http://arxiv.org/abs/2204.02892v1)|null|
|**2022-04-06**|**Improving Multi-task Generalization Ability for Neural Text Matching via Prompt Learning**|Shicheng Xu et.al.|[2204.02725v1](http://arxiv.org/abs/2204.02725v1)|null|
|**2022-04-06**|**A New Dataset for Topic-Based Paragraph Classification in Genocide-Related Court Transcripts**|Miriam Schirmer et.al.|[2204.02712v1](http://arxiv.org/abs/2204.02712v1)|**[link](https://github.com/miriamschirmer/genocide-transcript-corpus)**|
|**2022-04-06**|**Using Synthetic Data for Conversational Response Generation in Low-resource Settings**|Gabriel Louis Tan et.al.|[2204.02653v1](http://arxiv.org/abs/2204.02653v1)|null|
|**2022-04-06**|**DAGAM: Data Augmentation with Generation And Modification**|Byeong-Cheol Jo et.al.|[2204.02633v1](http://arxiv.org/abs/2204.02633v1)|null|
|**2022-04-05**|**Design considerations for a hierarchical semantic compositional framework for medical natural language understanding**|Ricky K. Taira et.al.|[2204.02067v1](http://arxiv.org/abs/2204.02067v1)|null|
|**2022-04-04**|**Product Market Demand Analysis Using NLP in Banglish Text with Sentiment Analysis and Named Entity Recognition**|Md Sabbir Hossain et.al.|[2204.01827v1](http://arxiv.org/abs/2204.01827v1)|null|
|**2022-04-04**|**MetaAID: A Flexible Framework for Developing Metaverse Applications via AI Technology and Human Editing**|Hongyin Zhu et.al.|[2204.01614v1](http://arxiv.org/abs/2204.01614v1)|null|
|**2022-04-04**|**BatchFormerV2: Exploring Sample Relationships for Dense Representation Learning**|Zhi Hou et.al.|[2204.01254v1](http://arxiv.org/abs/2204.01254v1)|null|
|**2022-04-03**|**Proceedings of TDA: Applications of Topological Data Analysis to Data Science, Artificial Intelligence, and Machine Learning Workshop at SDM 2022**|R. W. R. Darling et.al.|[2204.01142v1](http://arxiv.org/abs/2204.01142v1)|null|
|**2022-04-02**|**Automatic Transformation of Natural to Unified Modeling Language: A Systematic Review**|Sharif Ahmed et.al.|[2204.00932v1](http://arxiv.org/abs/2204.00932v1)|null|
|**2022-04-02**|**BERT-Assisted Semantic Annotation Correction for Emotion-Related Questions**|Abe Kazemzadeh et.al.|[2204.00916v1](http://arxiv.org/abs/2204.00916v1)|**[link](https://github.com/abecode/emo20q)**|
|**2022-04-02**|**Efficient comparison of sentence embeddings**|Spyros Zoupanos et.al.|[2204.00820v1](http://arxiv.org/abs/2204.00820v1)|null|
|**2022-04-02**|**CL-XABSA: Contrastive Learning for Cross-lingual Aspect-based Sentiment Analysis**|Nankai Lin et.al.|[2204.00791v1](http://arxiv.org/abs/2204.00791v1)|null|
|**2022-04-01**|**Learning Disentangled Representations of Negation and Uncertainty**|Jake Vasilakes et.al.|[2204.00511v1](http://arxiv.org/abs/2204.00511v1)|**[link](https://github.com/jvasilakes/disentanglement-vae)**|
|**2022-04-01**|**Uncertainty Determines the Adequacy of the Mode and the Tractability of Decoding in Sequence-to-Sequence Models**|Felix Stahlberg et.al.|[2204.00471v1](http://arxiv.org/abs/2204.00471v1)|null|
|**2022-04-01**|**Transformers for 1D Signals in Parkinson's Disease Detection from Gait**|Duc Minh Dimitri Nguyen et.al.|[2204.00423v1](http://arxiv.org/abs/2204.00423v1)|null|
|**2022-04-01**|**A Large-scale Dataset of (Open Source) License Text Variants**|Stefano Zacchiroli et.al.|[2204.00256v1](http://arxiv.org/abs/2204.00256v1)|null|
|**2022-03-30**|**Reproducibility Issues for BERT-based Evaluation Metrics**|Yanran Chen et.al.|[2204.00004v1](http://arxiv.org/abs/2204.00004v1)|**[link](https://github.com/cyr19/reproducibility)**|
|**2022-03-31**|**Deep Hyperspectral Unmixing using Transformer Network**|Preetam Ghosh et.al.|[2203.17076v1](http://arxiv.org/abs/2203.17076v1)|null|
|**2022-03-31**|**An Exploration of Prompt Tuning on Generative Spoken Language Model for Speech Processing Tasks**|Kai-Wei Chang et.al.|[2203.16773v1](http://arxiv.org/abs/2203.16773v1)|null|
|**2022-03-30**|**Generating Scientific Articles with Machine Learning**|Eliot H. Ayache et.al.|[2203.16569v1](http://arxiv.org/abs/2203.16569v1)|null|
|**2022-03-30**|**Towards Interpretable Deep Reinforcement Learning Models via Inverse Reinforcement Learning**|Yuansheng Xie et.al.|[2203.16464v1](http://arxiv.org/abs/2203.16464v1)|null|
|**2022-03-30**|**Automatic generation of semantic corpora for improving intent estimation of taxonomy-driven search engines**|Lorenzo Massai et.al.|[2203.16230v1](http://arxiv.org/abs/2203.16230v1)|null|
|**2022-03-30**|**Auto-MLM: Improved Contrastive Learning for Self-supervised Multi-lingual Knowledge Retrieval**|Wenshen Xu et.al.|[2203.16187v1](http://arxiv.org/abs/2203.16187v1)|null|
|**2022-03-30**|**Understanding Graph Convolutional Networks for Text Classification**|Soyeon Caren Han et.al.|[2203.16060v1](http://arxiv.org/abs/2203.16060v1)|**[link](https://github.com/usydnlp/TextGCN_analysis)**|
|**2022-03-30**|**TextPruner: A Model Pruning Toolkit for Pre-Trained Language Models**|Ziqing Yang et.al.|[2203.15996v1](http://arxiv.org/abs/2203.15996v1)|null|
|**2022-03-29**|**Few-shot Structured Radiology Report Generation Using Natural Language Prompts**|Matthias Keicher et.al.|[2203.15723v1](http://arxiv.org/abs/2203.15723v1)|null|
|**2022-03-29**|**Quality Assurance of Generative Dialog Models in an Evolving Conversational Agent Used for Swedish Language Practice**|Markus Borg et.al.|[2203.15414v1](http://arxiv.org/abs/2203.15414v1)|null|
|**2022-03-29**|**LDKP: A Dataset for Identifying Keyphrases from Long Scientific Documents**|Debanjan Mahata et.al.|[2203.15349v1](http://arxiv.org/abs/2203.15349v1)|null|
|**2022-03-29**|**Improving Persian Relation Extraction Models by Data Augmentation**|Moein Salimi Sartakhti et.al.|[2203.15323v1](http://arxiv.org/abs/2203.15323v1)|null|
|**2022-03-29**|**An Evaluation Dataset for Legal Word Embedding: A Case Study On Chinese Codex**|Chun-Hsien Lin et.al.|[2203.15173v1](http://arxiv.org/abs/2203.15173v1)|null|
|**2022-03-28**|**Federated Named Entity Recognition**|Joel Mathew et.al.|[2203.15101v1](http://arxiv.org/abs/2203.15101v1)|null|
|**2022-03-28**|**Comparing in context: Improving cosine similarity measures with a metric tensor**|Isa M. Apallius de Vos et.al.|[2203.14996v1](http://arxiv.org/abs/2203.14996v1)|null|
|**2022-03-28**|**Using Domain Knowledge for Low Resource Named Entity Recognition**|Yuan Shi et.al.|[2203.14738v1](http://arxiv.org/abs/2203.14738v1)|null|
|**2022-03-28**|**Hierarchical Transformer Model for Scientific Named Entity Recognition**|Urchade Zaratiana et.al.|[2203.14710v1](http://arxiv.org/abs/2203.14710v1)|**[link](https://github.com/urchade/hner)**|
|**2022-03-28**|**Automatic Debate Evaluation with Argumentation Semantics and Natural Language Argument Graph Networks**|Ramon Ruiz-Dolz et.al.|[2203.14647v1](http://arxiv.org/abs/2203.14647v1)|null|
|**2022-03-28**|**ANNA: Enhanced Language Representation for Question Answering**|Changwook Jun et.al.|[2203.14507v1](http://arxiv.org/abs/2203.14507v1)|null|
|**2022-03-28**|**EnCBP: A New Benchmark Dataset for Finer-Grained Cultural Background Prediction in English**|Weicheng Ma et.al.|[2203.14498v1](http://arxiv.org/abs/2203.14498v1)|null|
|**2022-03-27**|**Example-based Hypernetworks for Out-of-Distribution Generalization**|Tomer Volk et.al.|[2203.14276v1](http://arxiv.org/abs/2203.14276v1)|**[link](https://github.com/tomervolk/hyper-pada)**|
|**2022-03-27**|**bitsa_nlp@LT-EDI-ACL2022: Leveraging Pretrained Language Models for Detecting Homophobia and Transphobia in Social Media Comments**|Vitthal Bhandari et.al.|[2203.14267v1](http://arxiv.org/abs/2203.14267v1)|**[link](https://github.com/vitthal-bhandari/homophobia-transphobia-detection)**|
|**2022-03-26**|**Autoregressive Linguistic Steganography Based on BERT and Consistency Coding**|Xiaoyan Zheng et.al.|[2203.13972v1](http://arxiv.org/abs/2203.13972v1)|null|
|**2022-03-25**|**On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations**|Yang Trista Cao et.al.|[2203.13928v1](http://arxiv.org/abs/2203.13928v1)|null|
|**2022-03-25**|**Gransformer: Transformer-based Graph Generation**|Ahmad Khajenezhad et.al.|[2203.13655v1](http://arxiv.org/abs/2203.13655v1)|null|
|**2022-03-25**|**MKQ-BERT: Quantized BERT with 4-bits Weights and Activations**|Hanlin Tang et.al.|[2203.13483v1](http://arxiv.org/abs/2203.13483v1)|null|
|**2022-03-24**|**Gender and Racial Stereotype Detection in Legal Opinion Word Embeddings**|Sean Matthews et.al.|[2203.13369v1](http://arxiv.org/abs/2203.13369v1)|null|
|**2022-03-24**|**Searching for fingerspelled content in American Sign Language**|Bowen Shi et.al.|[2203.13291v1](http://arxiv.org/abs/2203.13291v1)|null|
|**2022-03-24**|**Multi-armed bandits for online optimization of language model pre-training: the use case of dynamic masking**|Iñigo Urteaga et.al.|[2203.13151v1](http://arxiv.org/abs/2203.13151v1)|null|
|**2022-03-24**|**Probing for Labeled Dependency Trees**|Max Müller-Eberstein et.al.|[2203.12971v1](http://arxiv.org/abs/2203.12971v1)|**[link](https://github.com/personads/depprobe)**|
|**2022-03-24**|**Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets**|Yuxiang Wu et.al.|[2203.12942v1](http://arxiv.org/abs/2203.12942v1)|**[link](https://github.com/jimmycode/gen-debiased-nli)**|
|**2022-03-24**|**k-Rater Reliability: The Correct Unit of Reliability for Aggregated Human Annotations**|Ka Wong et.al.|[2203.12913v1](http://arxiv.org/abs/2203.12913v1)|null|
|**2022-03-24**|**Classifying Cyber-Risky Clinical Notes by Employing Natural Language Processing**|Suzanna Schmeelk et.al.|[2203.12781v1](http://arxiv.org/abs/2203.12781v1)|null|
|**2022-03-23**|**Mokey: Enabling Narrow Fixed-Point Inference for Out-of-the-Box Floating-Point Transformer Models**|Ali Hadi Zadeh et.al.|[2203.12758v1](http://arxiv.org/abs/2203.12758v1)|null|
|**2022-03-22**|**Vision-and-Language Navigation: A Survey of Tasks, Methods, and Future Directions**|Jing Gu et.al.|[2203.12667v1](http://arxiv.org/abs/2203.12667v1)|**[link](https://github.com/eric-ai-lab/awesome-vision-language-navigation)**|
|**2022-03-23**|**Linearizing Transformer with Key-Value Memory Bank**|Yizhe Zhang et.al.|[2203.12644v1](http://arxiv.org/abs/2203.12644v1)|null|
|**2022-03-23**|**Unsupervised Pre-Training on Patient Population Graphs for Patient-Level Predictions**|Chantal Pellegrini et.al.|[2203.12616v1](http://arxiv.org/abs/2203.12616v1)|**[link](https://github.com/chantalmp/unsupervised-pre-training-on-patient-population-graphs-for-patient-level-predictions)**|
|**2022-03-22**|**Text Transformations in Contrastive Self-Supervised Learning: A Review**|Amrita Bhattacharjee et.al.|[2203.12000v1](http://arxiv.org/abs/2203.12000v1)|null|
|**2022-03-22**|**A Girl Has A Name, And It's ... Adversarial Authorship Attribution for Deobfuscation**|Wanyue Zhai et.al.|[2203.11849v1](http://arxiv.org/abs/2203.11849v1)|null|
|**2022-03-22**|**SU-NLP at SemEval-2022 Task 11: Complex Named Entity Recognition with Entity Linking**|Buse Çarık et.al.|[2203.11841v1](http://arxiv.org/abs/2203.11841v1)|null|
|**2022-03-22**|**Improving Meta-learning for Low-resource Text Classification and Generation via Memory Imitation**|Yingxiu Zhao et.al.|[2203.11670v1](http://arxiv.org/abs/2203.11670v1)|null|
|**2022-03-22**|**Demo of the Linguistic Field Data Management and Analysis System -- LiFE**|Siddharth Singh et.al.|[2203.11443v1](http://arxiv.org/abs/2203.11443v1)|**[link](https://github.com/kmi-linguistics/life)**|
|**2022-03-22**|**Multi-Modal Learning for AU Detection Based on Multi-Head Fused Transformers**|Xiang Zhang et.al.|[2203.11441v1](http://arxiv.org/abs/2203.11441v1)|null|
|**2022-03-21**|**DIANES: A DEI Audit Toolkit for News Sources**|Xiaoxiao Shang et.al.|[2203.11383v1](http://arxiv.org/abs/2203.11383v1)|null|
|**2022-03-21**|**Healthy Twitter discussions? Time will tell**|Dmitry Gnatyshak et.al.|[2203.11261v1](http://arxiv.org/abs/2203.11261v1)|null|
|**2022-03-21**|**Automated Clinical Coding: What, Why, and Where We Are?**|Hang Dong et.al.|[2203.11092v1](http://arxiv.org/abs/2203.11092v1)|null|
|**2022-03-21**|**PTM4Tag: Sharpening Tag Recommendation of Stack Overflow Posts with Pre-trained Models**|Junda He et.al.|[2203.10965v1](http://arxiv.org/abs/2203.10965v1)|null|
|**2022-03-21**|**TCM-SD: A Large Dataset for Syndrome Differentiation in Traditional Chinese Medicine**|Mucheng Ren et.al.|[2203.10839v1](http://arxiv.org/abs/2203.10839v1)|null|
|**2022-03-21**|**Prediction Algorithm for Heat Demand of Science and Technology Topics Based on Time Convolution Network**|Cui Haiyan et.al.|[2203.10718v1](http://arxiv.org/abs/2203.10718v1)|null|
|**2022-03-21**|**Forecast Evaluation for Data Scientists: Common Pitfalls and Best Practices**|Hansika Hewamalage et.al.|[2203.10716v1](http://arxiv.org/abs/2203.10716v1)|null|
|**2022-03-20**|**Small Batch Sizes Improve Training of Low-Resource Neural MT**|Àlex R. Atrio et.al.|[2203.10579v1](http://arxiv.org/abs/2203.10579v1)|null|
|**2022-03-20**|**Parallel Instance Query Network for Named Entity Recognition**|Yongliang Shen et.al.|[2203.10545v1](http://arxiv.org/abs/2203.10545v1)|**[link](https://github.com/tricktreat/piqn)**|
|**2022-03-20**|**DEIM: An effective deep encoding and interaction model for sentence matching**|Kexin Jiang et.al.|[2203.10482v1](http://arxiv.org/abs/2203.10482v1)|null|
|**2022-03-20**|**simCrossTrans: A Simple Cross-Modality Transfer Learning for Object Detection with ConvNets or Vision Transformers**|Xiaoke Shen et.al.|[2203.10456v1](http://arxiv.org/abs/2203.10456v1)|**[link](https://github.com/liketheflower/simcrosstrans)**|
|**2022-03-20**|**Towards Structuring Real-World Data at Scale: Deep Learning for Extracting Key Oncology Information from Clinical Text with Patient-Level Supervision**|Sam Preston et.al.|[2203.10442v1](http://arxiv.org/abs/2203.10442v1)|null|
|**2022-03-18**|**Challenges and Strategies in Cross-Cultural NLP**|Daniel Hershcovich et.al.|[2203.10020v1](http://arxiv.org/abs/2203.10020v1)|null|
|**2022-03-18**|**BIOS: An Algorithmically Generated Biomedical Knowledge Graph**|Sheng Yu et.al.|[2203.09975v1](http://arxiv.org/abs/2203.09975v1)|null|
|**2022-03-18**|**Three things everyone should know about Vision Transformers**|Hugo Touvron et.al.|[2203.09795v1](http://arxiv.org/abs/2203.09795v1)|null|
|**2022-03-17**|**Entangling Solid Solutions: Machine Learning of Tensor Networks for Materials Property Prediction**|David E. Sommer et.al.|[2203.09613v1](http://arxiv.org/abs/2203.09613v1)|null|
|**2022-03-17**|**Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation**|Kai Zhang et.al.|[2203.09553v1](http://arxiv.org/abs/2203.09553v1)|**[link](https://github.com/taokz/FedR)**|
|**2022-03-17**|**Entropy-based Attention Regularization Frees Unintended Bias Mitigation from Lists**|Giuseppe Attanasio et.al.|[2203.09192v1](http://arxiv.org/abs/2203.09192v1)|**[link](https://github.com/g8a9/ear)**|
|**2022-03-18**|**Nearest Neighbor Classifier with Margin Penalty for Active Learning**|Yuan Cao et.al.|[2203.09174v2](http://arxiv.org/abs/2203.09174v2)|null|
|**2022-03-17**|**POLARIS: A Geographic Pre-trained Model and its Applications in Baidu Maps**|Huang Jizhou et.al.|[2203.09127v1](http://arxiv.org/abs/2203.09127v1)|null|
|**2022-03-17**|**Fine- and Coarse-Granularity Hybrid Self-Attention for Efficient BERT**|Jing Zhao et.al.|[2203.09055v1](http://arxiv.org/abs/2203.09055v1)|null|
|**2022-03-16**|**Speaker Information Can Guide Models to Better Inductive Biases: A Case Study On Predicting Code-Switching**|Alissa Ostapenko et.al.|[2203.08979v1](http://arxiv.org/abs/2203.08979v1)|**[link](https://github.com/ostapen/switch-and-explain)**|
|**2022-03-16**|**3D-UCaps: 3D Capsules Unet for Volumetric Image Segmentation**|Tan Nguyen et.al.|[2203.08965v1](http://arxiv.org/abs/2203.08965v1)|**[link](https://github.com/vinairesearch/3d-ucaps)**|
|**2022-03-16**|**CapsNet for Medical Image Segmentation**|Minh Tran et.al.|[2203.08948v1](http://arxiv.org/abs/2203.08948v1)|null|
|**2022-03-16**|**Morphological Processing of Low-Resource Languages: Where We Are and What's Next**|Adam Wiemerslage et.al.|[2203.08909v1](http://arxiv.org/abs/2203.08909v1)|null|
|**2022-03-17**|**KinyaBERT: a Morphology-aware Kinyarwanda Language Model**|Antoine Nzeyimana et.al.|[2203.08459v2](http://arxiv.org/abs/2203.08459v2)|**[link](https://github.com/anzeyimana/kinyabert-acl2022)**|
|**2022-03-16**|**Can Pre-trained Language Models Interpret Similes as Smart as Human?**|Qianyu He et.al.|[2203.08452v1](http://arxiv.org/abs/2203.08452v1)|**[link](https://github.com/abbey4799/plms-interpret-simile)**|
|**2022-03-16**|**Reducing Flipping Errors in Deep Neural Networks**|Xiang Deng et.al.|[2203.08390v1](http://arxiv.org/abs/2203.08390v1)|**[link](https://github.com/xiang-deng-dl/fer)**|
|**2022-03-15**|**Toward Improving Attentive Neural Networks in Legal Text Processing**|Ha-Thanh Nguyen et.al.|[2203.08244v1](http://arxiv.org/abs/2203.08244v1)|null|
|**2022-03-15**|**HUMUS-Net: Hybrid unrolled multi-scale network architecture for accelerated MRI reconstruction**|Zalan Fabian et.al.|[2203.08213v1](http://arxiv.org/abs/2203.08213v1)|**[link](https://github.com/z-fabian/HUMUS-Net)**|
|**2022-03-15**|**Categorical Representation Learning and RG flow operators for algorithmic classifiers**|Artan Sheshmani et.al.|[2203.07975v1](http://arxiv.org/abs/2203.07975v1)|null|
|**2022-03-15**|**DialogueNeRF: Towards Realistic Avatar Face-to-face Conversation Video Generation**|Zanwei Zhou et.al.|[2203.07931v1](http://arxiv.org/abs/2203.07931v1)|null|
|**2022-03-15**|**Signal in Noise: Exploring Meaning Encoded in Random Character Sequences with Character-Aware Language Models**|Mark Chu et.al.|[2203.07911v1](http://arxiv.org/abs/2203.07911v1)|**[link](https://github.com/comp-syn/garble)**|
|**2022-03-14**|**Don't Get Me Wrong: How to apply Deep Visual Interpretations to Time Series**|Christoffer Loeffler et.al.|[2203.07861v1](http://arxiv.org/abs/2203.07861v1)|**[link](https://github.com/crispchris/saliency)**|
|**2022-03-15**|**CSN: Component-Supervised Network for Few-Shot Classification**|Shuai Shao et.al.|[2203.07738v1](http://arxiv.org/abs/2203.07738v1)|null|
|**2022-03-15**|**Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness**|Tejas Gokhale et.al.|[2203.07653v1](http://arxiv.org/abs/2203.07653v1)|null|
|**2022-03-15**|**TSM: Measuring the Enticement of Honeyfiles with Natural Language Processing**|Roelien C. Timmer et.al.|[2203.07580v1](http://arxiv.org/abs/2203.07580v1)|null|
|**2022-03-14**|**ScienceWorld: Is your Agent Smarter than a 5th Grader?**|Ruoyao Wang et.al.|[2203.07540v1](http://arxiv.org/abs/2203.07540v1)|**[link](https://github.com/allenai/scienceworld)**|
|**2022-03-14**|**The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models**|Eldar Kurtic et.al.|[2203.07259v1](http://arxiv.org/abs/2203.07259v1)|null|
|**2022-03-14**|**PERT: Pre-training BERT with Permuted Language Model**|Yiming Cui et.al.|[2203.06906v1](http://arxiv.org/abs/2203.06906v1)|**[link](https://github.com/ymcui/pert)**|
|**2022-03-14**|**SUPERB-SG: Enhanced Speech processing Universal PERformance Benchmark for Semantic and Generative Capabilities**|Hsiang-Sheng Tsai et.al.|[2203.06849v1](http://arxiv.org/abs/2203.06849v1)|**[link](https://github.com/s3prl/s3prl)**|
|**2022-03-14**|**Towards Semantic Search for Community Question Answering for Mortgage Officers**|Amir Reza Rahmani et.al.|[2203.06807v1](http://arxiv.org/abs/2203.06807v1)|null|
|**2022-03-13**|**Adaptive Bit Rate Control in Semantic Communication with Incremental Knowledge-based HARQ**|Qingyang Zhou et.al.|[2203.06634v1](http://arxiv.org/abs/2203.06634v1)|null|
|**2022-03-13**|**A Systematic Study and Analysis of Bengali Folklore with Natural Language Processing Systems**|Mustain Billah et.al.|[2203.06607v1](http://arxiv.org/abs/2203.06607v1)|null|
|**2022-03-13**|**Masked Autoencoders for Point Cloud Self-supervised Learning**|Yatian Pang et.al.|[2203.06604v1](http://arxiv.org/abs/2203.06604v1)|**[link](https://github.com/Pang-Yatian/Point-MAE)**|
|**2022-03-12**|**Low-Rank Softmax Can Have Unargmaxable Classes in Theory but Rarely in Practice**|Andreas Grivas et.al.|[2203.06462v1](http://arxiv.org/abs/2203.06462v1)|null|
|**2022-03-12**|**A Survey in Adversarial Defences and Robustness in NLP**|Shreya Goyal et.al.|[2203.06414v1](http://arxiv.org/abs/2203.06414v1)|null|
|**2022-03-12**|**BiBERT: Accurate Fully Binarized BERT**|Haotong Qin et.al.|[2203.06390v1](http://arxiv.org/abs/2203.06390v1)|**[link](https://github.com/htqin/bibert)**|
|**2022-03-11**|**Symmetry Group Equivariant Architectures for Physics**|Alexander Bogatskiy et.al.|[2203.06153v1](http://arxiv.org/abs/2203.06153v1)|null|
|**2022-03-11**|**QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization**|Xiuying Wei et.al.|[2203.05740v1](http://arxiv.org/abs/2203.05740v1)|**[link](https://github.com/wimh966/QDrop)**|
|**2022-03-10**|**Disadvantaged students increase their academic performance through collective intelligence exposure in emergency remote learning due to COVID 19**|Cristian Candia et.al.|[2203.05621v1](http://arxiv.org/abs/2203.05621v1)|null|
|**2022-03-10**|**Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time**|Mitchell Wortsman et.al.|[2203.05482v1](http://arxiv.org/abs/2203.05482v1)|null|
|**2022-03-10**|**OneRel:Joint Entity and Relation Extraction with One Module in One Step**|Yu-Ming Shang et.al.|[2203.05412v1](http://arxiv.org/abs/2203.05412v1)|null|
|**2022-03-10**|**TextConvoNet:A Convolutional Neural Network based Architecture for Text Classification**|Sanskar Soni et.al.|[2203.05173v1](http://arxiv.org/abs/2203.05173v1)|null|
|**2022-03-10**|**Librarian-in-the-Loop: A Natural Language Processing Paradigm for Detecting Informal Mentions of Research Data in Academic Literature**|Lizhou Fan et.al.|[2203.05112v1](http://arxiv.org/abs/2203.05112v1)|null|
|**2022-03-09**|**HealthPrompt: A Zero-shot Learning Paradigm for Clinical Natural Language Processing**|Sonish Sivarajkumar et.al.|[2203.05061v1](http://arxiv.org/abs/2203.05061v1)|null|
|**2022-03-09**|**PET: A new Dataset for Process Extraction from Natural Language Text**|Patrizio Bellan et.al.|[2203.04860v1](http://arxiv.org/abs/2203.04860v1)|null|
|**2022-03-09**|**Automatic Language Identification for Celtic Texts**|Olha Dovbnia et.al.|[2203.04831v1](http://arxiv.org/abs/2203.04831v1)|null|
|**2022-03-09**|**Pretrained Domain-Specific Language Model for General Information Retrieval Tasks in the AEC Domain**|Zhe Zheng et.al.|[2203.04729v1](http://arxiv.org/abs/2203.04729v1)|**[link](https://github.com/skydustz/aec-domain-corpora)**|
|**2022-03-09**|**Memory Efficient Continual Learning for Neural Text Classification**|Beyza Ermis et.al.|[2203.04640v1](http://arxiv.org/abs/2203.04640v1)|null|
|**2022-03-09**|**Mapping global dynamics of benchmark creation and saturation in artificial intelligence**|Adriano Barbosa-Silva et.al.|[2203.04592v1](http://arxiv.org/abs/2203.04592v1)|null|
|**2022-03-08**|**Plumeria at SemEval-2022 Task 6: Robust Approaches for Sarcasm Detection for English and Arabic Using Transformers and Data Augmentation**|Shubham Kumar Nigam et.al.|[2203.04111v1](http://arxiv.org/abs/2203.04111v1)|null|
|**2022-03-08**|**Adapt$\mathcal{O}$r: Objective-Centric Adaptation Framework for Language Models**|Michal Štefánik et.al.|[2203.03989v1](http://arxiv.org/abs/2203.03989v1)|null|
|**2022-03-08**|**A Unified Framework of Medical Information Annotation and Extraction for Chinese Clinical Text**|Enwei Zhu et.al.|[2203.03823v1](http://arxiv.org/abs/2203.03823v1)|**[link](https://github.com/syuoni/eznlp)**|
|**2022-03-07**|**IT5: Large-scale Text-to-text Pretraining for Italian Language Understanding and Generation**|Gabriele Sarti et.al.|[2203.03759v1](http://arxiv.org/abs/2203.03759v1)|**[link](https://github.com/gsarti/it5)**|
|**2022-03-07**|**RumorLens: Interactive Analysis and Validation of Suspected Rumors on Social Media**|Ran Wang et.al.|[2203.03098v1](http://arxiv.org/abs/2203.03098v1)|null|
|**2022-03-06**|**Story Point Effort Estimation by Text Level Graph Neural Network**|Hung Phan et.al.|[2203.03062v1](http://arxiv.org/abs/2203.03062v1)|null|
|**2022-03-06**|**A Survey of Implicit Discourse Relation Recognition**|Wei Xiang et.al.|[2203.02982v1](http://arxiv.org/abs/2203.02982v1)|null|
|**2022-03-06**|**Leveraging Pre-trained BERT for Audio Captioning**|Xubo Liu et.al.|[2203.02838v1](http://arxiv.org/abs/2203.02838v1)|null|
|**2022-03-05**|**Just Rank: Rethinking Evaluation with Word and Sentence Similarities**|Bin Wang et.al.|[2203.02679v1](http://arxiv.org/abs/2203.02679v1)|**[link](https://github.com/binwang28/evalrank-embedding-evaluation)**|
|**2022-03-04**|**A streamable large-scale clinical EEG dataset for Deep Learning**|Dung Truong et.al.|[2203.02552v1](http://arxiv.org/abs/2203.02552v1)|null|
|**2022-03-04**|**Deep Lexical Hypothesis: Identifying personality structure in natural language**|Andrew Cutler et.al.|[2203.02092v1](http://arxiv.org/abs/2203.02092v1)|null|
|**2022-03-03**|**Vision-Language Intelligence: Tasks, Representation Learning, and Large Models**|Feng Li et.al.|[2203.01922v1](http://arxiv.org/abs/2203.01922v1)|null|
|**2022-03-01**|**A Brief Overview of Unsupervised Neural Speech Representation Learning**|Lasse Borgholt et.al.|[2203.01829v1](http://arxiv.org/abs/2203.01829v1)|null|
|**2022-03-03**|**A Deep Neural Framework for Image Caption Generation Using GRU-Based Attention Mechanism**|Rashid Khan et.al.|[2203.01594v1](http://arxiv.org/abs/2203.01594v1)|null|
|**2022-03-02**|**Audio Self-supervised Learning: A Survey**|Shuo Liu et.al.|[2203.01205v1](http://arxiv.org/abs/2203.01205v1)|null|
|**2022-03-03**|**DCT-Former: Efficient Self-Attention with Discrete Cosine Transform**|Carmelo Scribano et.al.|[2203.01178v2](http://arxiv.org/abs/2203.01178v2)|null|
|**2022-02-28**|**Nanophotonic cavity based synapse for scalable photonic neural networks**|Aashu Jha et.al.|[2203.01128v1](http://arxiv.org/abs/2203.01128v1)|null|
|**2022-03-02**|**Aggregated Pyramid Vision Transformer: Split-transform-merge Strategy for Image Recognition without Convolutions**|Rui-Yang Ju et.al.|[2203.00960v1](http://arxiv.org/abs/2203.00960v1)|null|
|**2022-03-01**|**Towards a Common Speech Analysis Engine**|Hagai Aronowitz et.al.|[2203.00613v1](http://arxiv.org/abs/2203.00613v1)|null|
|**2022-03-01**|**Topological Data Analysis for Word Sense Disambiguation**|Michael Rawson et.al.|[2203.00565v1](http://arxiv.org/abs/2203.00565v1)|null|
|**2022-03-04**|**Improving Performance of Automated Essay Scoring by using back-translation essays and adjusted scores**|You-Jin Jong et.al.|[2203.00354v2](http://arxiv.org/abs/2203.00354v2)|null|
|**2022-03-03**|**A Multi-scale Transformer for Medical Image Segmentation: Architectures, Model Efficiency, and Benchmarks**|Yunhe Gao et.al.|[2203.00131v2](http://arxiv.org/abs/2203.00131v2)|**[link](https://github.com/yhygao/cbim-medical-image-segmentation)**|
|**2022-02-28**|**Paper Plain: Making Medical Research Papers Approachable to Healthcare Consumers with Natural Language Processing**|Tal August et.al.|[2203.00130v1](http://arxiv.org/abs/2203.00130v1)|**[link](https://github.com/allenai/paper-plain)**|
|**2022-02-28**|**An Empirical Study on Explanations in Out-of-Domain Settings**|George Chrysostomou et.al.|[2203.00056v1](http://arxiv.org/abs/2203.00056v1)|**[link](https://github.com/gchrysostomou/ood_faith)**|
|**2022-02-28**|**Robust Textual Embedding against Word-level Adversarial Attacks**|Yichen Yang et.al.|[2202.13817v1](http://arxiv.org/abs/2202.13817v1)|null|
|**2022-02-28**|**Detecting Stance in Scientific Papers: Did we get more Negative Recently?**|Dominik Beese et.al.|[2202.13610v1](http://arxiv.org/abs/2202.13610v1)|null|
|**2022-02-28**|**CINO: A Chinese Minority Pre-trained Language Model**|Ziqing Yang et.al.|[2202.13558v1](http://arxiv.org/abs/2202.13558v1)|null|
|**2022-02-25**|**Accelerating Neural Architecture Exploration Across Modalities Using Genetic Algorithms**|Daniel Cummings et.al.|[2202.12934v1](http://arxiv.org/abs/2202.12934v1)|null|
|**2022-02-25**|**The Reality of Multi-Lingual Machine Translation**|Tom Kocmi et.al.|[2202.12814v1](http://arxiv.org/abs/2202.12814v1)|null|
|**2022-02-25**|**Deep Learning, Natural Language Processing, and Explainable Artificial Intelligence in the Biomedical Domain**|Milad Moradi et.al.|[2202.12678v1](http://arxiv.org/abs/2202.12678v1)|null|
|**2022-02-24**|**TrimBERT: Tailoring BERT for Trade-offs**|Sharath Nittur Sridhar et.al.|[2202.12411v1](http://arxiv.org/abs/2202.12411v1)|null|
|**2022-02-24**|**DoCoGen: Domain Counterfactual Generation for Low Resource Domain Adaptation**|Nitay Calderon et.al.|[2202.12350v1](http://arxiv.org/abs/2202.12350v1)|**[link](https://github.com/nitaytech/docogen)**|
|**2022-02-24**|**Is Neuro-Symbolic AI Meeting its Promise in Natural Language Processing? A Structured Review**|Kyle Hamilton et.al.|[2202.12205v1](http://arxiv.org/abs/2202.12205v1)|**[link](https://github.com/kyleiwaniec/neuro-symbolic-ai-systematic-review)**|
|**2022-02-24**|**Transformers in Medical Image Analysis: A Review**|Kelei He et.al.|[2202.12165v1](http://arxiv.org/abs/2202.12165v1)|null|
|**2022-02-24**|**From Natural Language to Simulations: Applying GPT-3 Codex to Automate Simulation Modeling of Logistics Systems**|Ilya Jackson et.al.|[2202.12107v1](http://arxiv.org/abs/2202.12107v1)|**[link](https://github.com/jackil1993/gpt3_scm)**|
|**2022-02-24**|**Welcome to the Modern World of Pronouns: Identity-Inclusive Natural Language Processing beyond Gender**|Anne Lauscher et.al.|[2202.11923v1](http://arxiv.org/abs/2202.11923v1)|null|
|**2022-02-23**|**A gentle introduction to Quantum Natural Language Processing**|Shervin Le Du et.al.|[2202.11766v1](http://arxiv.org/abs/2202.11766v1)|null|
|**2022-02-22**|**Evaluating Persian Tokenizers**|Danial Kamali et.al.|[2202.10879v1](http://arxiv.org/abs/2202.10879v1)|null|
|**2022-02-22**|**Exploiting long-term temporal dynamics for video captioning**|Yuyu Guo et.al.|[2202.10828v1](http://arxiv.org/abs/2202.10828v1)|null|
|**2022-02-22**|**One-shot Scene Graph Generation**|Yuyu Guo et.al.|[2202.10824v1](http://arxiv.org/abs/2202.10824v1)|**[link](https://github.com/gyy8426/os-sgg)**|
|**2022-02-22**|**Automatically Generating Counterfactuals for Relation Exaction**|Mi Zhang et.al.|[2202.10668v1](http://arxiv.org/abs/2202.10668v1)|null|
|**2022-02-22**|**Adversarial Attacks on Speech Recognition Systems for Mission-Critical Applications: A Survey**|Ngoc Dung Huynh et.al.|[2202.10594v1](http://arxiv.org/abs/2202.10594v1)|null|
|**2022-02-21**|**Seeing the advantage: visually grounding word embeddings to better capture human semantic knowledge**|Danny Merkx et.al.|[2202.10292v1](http://arxiv.org/abs/2202.10292v1)|null|
|**2022-02-21**|**Rethinking the Zigzag Flattening for Image Reading**|Qingsong Zhao et.al.|[2202.10240v1](http://arxiv.org/abs/2202.10240v1)|null|
|**2022-02-21**|**BERT WEAVER: Using WEight AVERaging to Enable Lifelong Learning for Transformer-based Models**|Lisa Langnickel et.al.|[2202.10101v1](http://arxiv.org/abs/2202.10101v1)|**[link](https://github.com/llangnickel/weaver)**|
|**2022-02-20**|**Hierarchical Interpretation of Neural Text Classification**|Hanqi Yan et.al.|[2202.09792v1](http://arxiv.org/abs/2202.09792v1)|null|
|**2022-02-20**|**Visual Attention Network**|Meng-Hao Guo et.al.|[2202.09741v1](http://arxiv.org/abs/2202.09741v1)|**[link](https://github.com/Visual-Attention-Network/VAN-Classification)**|
|**2022-02-19**|**Punctuation Restoration**|Viet Dac Lai et.al.|[2202.09695v1](http://arxiv.org/abs/2202.09695v1)|null|
|**2022-02-19**|**Data-Driven Mitigation of Adversarial Text Perturbation**|Rasika Bhalerao et.al.|[2202.09483v1](http://arxiv.org/abs/2202.09483v1)|null|
|**2022-02-18**|**From FreEM to D'AlemBERT: a Large Corpus and a Language Model for Early Modern French**|Simon Gabay et.al.|[2202.09452v1](http://arxiv.org/abs/2202.09452v1)|null|
|**2022-02-18**|**Evaluating the Construct Validity of Text Embeddings with Application to Survey Questions**|Qixiang Fang et.al.|[2202.09166v1](http://arxiv.org/abs/2202.09166v1)|**[link](https://github.com/fqixiang/survey-embedding-validity)**|
|**2022-02-21**|**VLP: A Survey on Vision-Language Pre-training**|Feilong Chen et.al.|[2202.09061v2](http://arxiv.org/abs/2202.09061v2)|null|
|**2022-02-17**|**Designing Effective Sparse Expert Models**|Barret Zoph et.al.|[2202.08906v1](http://arxiv.org/abs/2202.08906v1)|**[link](https://github.com/tensorflow/mesh)**|
|**2022-02-17**|**cosFormer: Rethinking Softmax in Attention**|Zhen Qin et.al.|[2202.08791v1](http://arxiv.org/abs/2202.08791v1)|**[link](https://github.com/OpenNLPLab/cosFormer)**|
|**2022-02-17**|**A Survey of Knowledge-Intensive NLP with Pre-Trained Language Models**|Da Yin et.al.|[2202.08772v1](http://arxiv.org/abs/2202.08772v1)|null|
|**2022-02-18**|**Text-Based Action-Model Acquisition for Planning**|Kebing Jin et.al.|[2202.08373v2](http://arxiv.org/abs/2202.08373v2)|null|
|**2022-02-15**|**The Quarks of Attention**|Pierre Baldi et.al.|[2202.08371v1](http://arxiv.org/abs/2202.08371v1)|null|
|**2022-02-16**|**Open-Ended Reinforcement Learning with Neural Reward Functions**|Robert Meier et.al.|[2202.08266v1](http://arxiv.org/abs/2202.08266v1)|null|
|**2022-02-16**|**ADIMA: Abuse Detection In Multilingual Audio**|Vikram Gupta et.al.|[2202.07991v1](http://arxiv.org/abs/2202.07991v1)|null|
|**2022-02-16**|**A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications**|Jun Xia et.al.|[2202.07893v1](http://arxiv.org/abs/2202.07893v1)|null|
|**2022-02-16**|**ITTC @ TREC 2021 Clinical Trials Track**|Thinh Hung Truong et.al.|[2202.07858v1](http://arxiv.org/abs/2202.07858v1)|null|
|**2022-02-15**|**Conformal Prediction Sets with Limited False Positives**|Adam Fisch et.al.|[2202.07650v1](http://arxiv.org/abs/2202.07650v1)|**[link](https://github.com/ajfisch/conformal-fp)**|
|**2022-02-15**|**NewsPod: Automatic and Interactive News Podcasts**|Philippe Laban et.al.|[2202.07146v1](http://arxiv.org/abs/2202.07146v1)|null|
|**2022-02-15**|**Integrating AI Planning with Natural Language Processing: A Combination of Explicit and Tacit Knowledge**|Kebing Jin et.al.|[2202.07138v1](http://arxiv.org/abs/2202.07138v1)|null|
|**2022-02-15**|**Transformers in Time Series: A Survey**|Qingsong Wen et.al.|[2202.07125v1](http://arxiv.org/abs/2202.07125v1)|null|
|**2022-02-15**|**A Survey on Model Compression for Natural Language Processing**|Canwen Xu et.al.|[2202.07105v1](http://arxiv.org/abs/2202.07105v1)|null|
|**2022-02-15**|**A Survey on Dynamic Neural Networks for Natural Language Processing**|Canwen Xu et.al.|[2202.07101v1](http://arxiv.org/abs/2202.07101v1)|null|
|**2022-02-14**|**Handcrafted Histological Transformer (H2T): Unsupervised Representation of Whole Slide Images**|Quoc Dang Vu et.al.|[2202.07001v1](http://arxiv.org/abs/2202.07001v1)|null|
|**2022-02-14**|**Threats to Pre-trained Language Models: Survey and Taxonomy**|Shangwei Guo et.al.|[2202.06862v1](http://arxiv.org/abs/2202.06862v1)|null|
|**2022-02-14**|**Aspect Based Sentiment Analysis Using Spectral Temporal Graph Neural Network**|Abir Chakraborty et.al.|[2202.06776v1](http://arxiv.org/abs/2202.06776v1)|null|
|**2022-02-14**|**I-Tuning: Tuning Language Models with Image for Caption Generation**|Ziyang Luo et.al.|[2202.06574v1](http://arxiv.org/abs/2202.06574v1)|null|
|**2022-02-13**|**A Contrastive Framework for Neural Text Generation**|Yixuan Su et.al.|[2202.06417v1](http://arxiv.org/abs/2202.06417v1)|**[link](https://github.com/yxuansu/simctg)**|
|**2022-02-13**|**Emotion Based Hate Speech Detection using Multimodal Learning**|Aneri Rana et.al.|[2202.06218v1](http://arxiv.org/abs/2202.06218v1)|null|
|**2022-02-12**|**Automatic Issue Classifier: A Transfer Learning Framework for Classifying Issue Reports**|Anas Nadeem et.al.|[2202.06149v1](http://arxiv.org/abs/2202.06149v1)|**[link](https://github.com/ansnadeem/aic)**|
|**2022-02-11**|**Using Random Perturbations to Mitigate Adversarial Attacks on Sentiment Analysis Models**|Abigail Swenor et.al.|[2202.05758v1](http://arxiv.org/abs/2202.05758v1)|null|
|**2022-02-11**|**GenderedNews: Une approche computationnelle des écarts de représentation des genres dans la presse française**|Ange Richard et.al.|[2202.05682v1](http://arxiv.org/abs/2202.05682v1)|null|
|**2022-02-11**|**Hindi/Bengali Sentiment Analysis Using Transfer Learning and Joint Dual Input Learning with Self Attention**|Shahrukh Khan et.al.|[2202.05457v1](http://arxiv.org/abs/2202.05457v1)|**[link](https://github.com/shahrukhx01/nnti_hindi_bengali_sentiment_analysis/tree/main/src)**|
|**2022-02-08**|**Efficacy of Transformer Networks for Classification of Raw EEG Data**|Gourav Siddhad et.al.|[2202.05170v1](http://arxiv.org/abs/2202.05170v1)|null|
|**2022-02-10**|**Natural Language in Requirements Engineering for Structure Inference -- An Integrative Review**|Maximilian Vierlboeck et.al.|[2202.05065v1](http://arxiv.org/abs/2202.05065v1)|null|
|**2022-02-10**|**A Survey on Artificial Intelligence for Source Code: A Dialogue Systems Perspective**|Erfan Al-Hossami et.al.|[2202.04847v1](http://arxiv.org/abs/2202.04847v1)|null|
|**2022-02-09**|**TamilEmo: Finegrained Emotion Detection Dataset for Tamil**|Charangan Vasantharajan et.al.|[2202.04725v1](http://arxiv.org/abs/2202.04725v1)|null|
|**2022-02-09**|**Generating Training Data with Language Models: Towards Zero-Shot Language Understanding**|Yu Meng et.al.|[2202.04538v1](http://arxiv.org/abs/2202.04538v1)|**[link](https://github.com/yumeng5/supergen)**|
|**2022-02-09**|**pNLP-Mixer: an Efficient all-MLP Architecture for Language**|Francesco Fusco et.al.|[2202.04350v1](http://arxiv.org/abs/2202.04350v1)|null|
|**2022-02-08**|**Robustness Verification for Attention Networks using Mixed Integer Programming**|Hsuan-Cheng Liao et.al.|[2202.03932v1](http://arxiv.org/abs/2202.03932v1)|null|
|**2022-02-07**|**Speech Emotion Recognition using Self-Supervised Features**|Edmilson Morais et.al.|[2202.03896v1](http://arxiv.org/abs/2202.03896v1)|null|
|**2022-02-08**|**A two-step approach to leverage contextual data: speech recognition in air-traffic communications**|Iuliia Nigmatulina et.al.|[2202.03725v1](http://arxiv.org/abs/2202.03725v1)|null|
|**2022-02-08**|**HistBERT: A Pre-trained Language Model for Diachronic Lexical Semantic Analysis**|Wenjun Qiu et.al.|[2202.03612v1](http://arxiv.org/abs/2202.03612v1)|**[link](https://github.com/wendyqiu/diachronicbert)**|
|**2022-02-07**|**Diversify and Disambiguate: Learning From Underspecified Data**|Yoonho Lee et.al.|[2202.03418v1](http://arxiv.org/abs/2202.03418v1)|null|
|**2022-02-07**|**Cedille: A large autoregressive French language model**|Martin Müller et.al.|[2202.03371v1](http://arxiv.org/abs/2202.03371v1)|**[link](https://github.com/coteries/cedille-ai)**|
|**2022-02-07**|**Efficient Adapter Transfer of Self-Supervised Speech Models for Automatic Speech Recognition**|Bethan Thomas et.al.|[2202.03218v1](http://arxiv.org/abs/2202.03218v1)|null|
|**2022-02-06**|**Evaluating natural language processing models with generalization metrics that do not need access to any training or testing data**|Yaoqing Yang et.al.|[2202.02842v1](http://arxiv.org/abs/2202.02842v1)|null|
|**2022-02-05**|**Semantic Similarity Computing Model Based on Multi Model Fine-Grained Nonlinear Fusion**|Peiying Zhang et.al.|[2202.02476v1](http://arxiv.org/abs/2202.02476v1)|null|
|**2022-02-04**|**Pirá: A Bilingual Portuguese-English Dataset for Question-Answering about the Ocean**|André F. A. Paschoal et.al.|[2202.02398v1](http://arxiv.org/abs/2202.02398v1)|**[link](https://github.com/C4AI/Pira)**|
|**2022-02-04**|**JARVix at SemEval-2022 Task 2: It Takes One to Know One? Idiomaticity Detection using Zero and One Shot Learning**|Ashwin Pathak et.al.|[2202.02394v1](http://arxiv.org/abs/2202.02394v1)|**[link](https://github.com/ashwinpathak20/idiomaticity_detection_using_few_shot_learning)**|
|**2022-02-04**|**Pre-Trained Neural Language Models for Automatic Mobile App User Feedback Answer Generation**|Yue Cao et.al.|[2202.02294v1](http://arxiv.org/abs/2202.02294v1)|null|
|**2022-02-04**|**Crystalline: Lowering the Cost for Developers to Collect and Organize Information for Decision Making**|Michael Xieyang Liu et.al.|[2202.02175v1](http://arxiv.org/abs/2202.02175v1)|null|
|**2022-02-04**|**SummaryLens -- A Smartphone App for Exploring Interactive Use of Automated Text Summarization in Everyday Life**|Karim Benharrak et.al.|[2202.02053v1](http://arxiv.org/abs/2202.02053v1)|**[link](https://github.com/derkarim06/summarylens)**|
|**2022-02-03**|**CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting**|Gerald Woo et.al.|[2202.01575v1](http://arxiv.org/abs/2202.01575v1)|null|
|**2022-01-31**|**Adaptive Sampling Strategies to Construct Equitable Training Datasets**|William Cai et.al.|[2202.01327v1](http://arxiv.org/abs/2202.01327v1)|null|
|**2022-02-02**|**A Comparison of Online Hate on Reddit and 4chan: A Case Study of the 2020 US Election**|Fatima Zahrah et.al.|[2202.01302v1](http://arxiv.org/abs/2202.01302v1)|null|
|**2022-02-02**|**Knowledge Engineering in the Long Game of Artificial Intelligence: The Case of Speech Acts**|Marjorie McShane et.al.|[2202.01040v1](http://arxiv.org/abs/2202.01040v1)|null|
|**2022-02-02**|**Detecting Privacy Requirements from User Stories with NLP Transfer Learning Models**|Francesco Casillo et.al.|[2202.01035v1](http://arxiv.org/abs/2202.01035v1)|null|
|**2022-02-01**|**Improving Sample Efficiency of Value Based Models Using Attention and Vision Transformers**|Amir Ardalan Kalantari et.al.|[2202.00710v1](http://arxiv.org/abs/2202.00710v1)|null|
|**2022-02-02**|**Questions for Flat-Minima Optimization of Modern Neural Networks**|Jean Kaddour et.al.|[2202.00661v2](http://arxiv.org/abs/2202.00661v2)|null|
|**2022-01-28**|**Dominant Set-based Active Learning for Text Classification and its Application to Online Social Media**|Toktam A. Oghaz et.al.|[2202.00540v1](http://arxiv.org/abs/2202.00540v1)|null|
|**2022-02-01**|**Novelty Controlled Paraphrase Generation with Retrieval Augmented Conditional Prompt Tuning**|Jishnu Ray Chowdhury et.al.|[2202.00535v1](http://arxiv.org/abs/2202.00535v1)|null|
|**2022-02-01**|**Semantic Annotation and Querying Framework based on Semi-structured Ayurvedic Text**|Hrishikesh Terdalkar et.al.|[2202.00216v1](http://arxiv.org/abs/2202.00216v1)|null|
|**2022-01-31**|**NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy**|Yash Mehta et.al.|[2201.13396v1](http://arxiv.org/abs/2201.13396v1)|**[link](https://github.com/automl/NASLib)**|
|**2022-01-30**|**Compositionality as Lexical Symmetry**|Ekin Akyürek et.al.|[2201.12926v1](http://arxiv.org/abs/2201.12926v1)|null|
|**2022-01-30**|**Part of Speech Tagging (POST) of a Low-resource Language using another Language (Developing a POS-Tagged Lexicon for Kurdish (Sorani) using a Tagged Persian (Farsi) Corpus)**|Hossein Hassani et.al.|[2201.12793v1](http://arxiv.org/abs/2201.12793v1)|null|
|**2022-01-30**|**TransBTSV2: Wider Instead of Deeper Transformer for Medical Image Segmentation**|Jiangyun Li et.al.|[2201.12785v1](http://arxiv.org/abs/2201.12785v1)|**[link](https://github.com/Wenxuan-1119/TransBTS)**|
|**2022-01-28**|**Commonsense Knowledge Reasoning and Generation with Pre-trained Language Models: A Survey**|Prajjwal Bhargava et.al.|[2201.12438v1](http://arxiv.org/abs/2201.12438v1)|null|
|**2022-01-28**|**Benchmarking Resource Usage for Efficient Distributed Deep Learning**|Nathan C. Frey et.al.|[2201.12423v1](http://arxiv.org/abs/2201.12423v1)|null|
|**2022-01-28**|**Measure Estimation in the Barycentric Coding Model**|Matthew Werenski et.al.|[2201.12195v1](http://arxiv.org/abs/2201.12195v1)|null|
|**2022-01-28**|**O-ViT: Orthogonal Vision Transformer**|Yanhong Fei et.al.|[2201.12133v1](http://arxiv.org/abs/2201.12133v1)|null|
|**2022-01-28**|**PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence Embeddings**|Qiyu Wu et.al.|[2201.12093v1](http://arxiv.org/abs/2201.12093v1)|null|
|**2022-01-31**|**Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model**|Shaden Smith et.al.|[2201.11990v2](http://arxiv.org/abs/2201.11990v2)|null|
|**2022-01-28**|**A Secure and Efficient Federated Learning Framework for NLP**|Jieren Deng et.al.|[2201.11934v1](http://arxiv.org/abs/2201.11934v1)|null|
|**2022-01-27**|**Clinical-Longformer and Clinical-BigBird: Transformers for long clinical sequences**|Yikuan Li et.al.|[2201.11838v1](http://arxiv.org/abs/2201.11838v1)|null|
|**2022-01-27**|**Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation**|Jixuan Wang et.al.|[2201.11576v1](http://arxiv.org/abs/2201.11576v1)|**[link](https://github.com/jixuan-wang/grad2task)**|
|**2022-01-27**|**Prabhupadavani: A Code-mixed Speech Translation Data for 25 Languages**|Jivnesh Sandhan et.al.|[2201.11391v1](http://arxiv.org/abs/2201.11391v1)|**[link](https://github.com/frozentoad9/CMST)**|
|**2022-01-30**|**Epistemic AI platform accelerates innovation by connecting biomedical knowledge**|Emily Koo et.al.|[2201.11331v2](http://arxiv.org/abs/2201.11331v2)|null|
|**2022-01-26**|**Twitter-Demographer: A Flow-based Tool to Enrich Twitter Data**|Federico Bianchi et.al.|[2201.10986v1](http://arxiv.org/abs/2201.10986v1)|null|
|**2022-01-26**|**Dual-Tasks Siamese Transformer Framework for Building Damage Assessment**|Hongruixuan Chen et.al.|[2201.10953v1](http://arxiv.org/abs/2201.10953v1)|null|
|**2022-01-26**|**One Student Knows All Experts Know: From Sparse to Dense**|Fuzhao Xue et.al.|[2201.10890v1](http://arxiv.org/abs/2201.10890v1)|null|
|**2022-01-25**|**LP-UIT: A Multimodal Framework for Link Prediction in Social Networks**|Huizi Wu et.al.|[2201.10108v1](http://arxiv.org/abs/2201.10108v1)|null|
|**2022-01-24**|**Classification Of Fake News Headline Based On Neural Networks**|Ke Yahan et.al.|[2201.09966v1](http://arxiv.org/abs/2201.09966v1)|null|
|**2022-01-24**|**Using Computational Grounded Theory to Understand Tutors' Experiences in the Gig Economy**|Lama Alqazlan et.al.|[2201.09787v1](http://arxiv.org/abs/2201.09787v1)|null|
|**2022-01-24**|**Unified Question Generation with Continual Lifelong Learning**|Wei Yuan et.al.|[2201.09696v1](http://arxiv.org/abs/2201.09696v1)|null|
|**2022-01-24**|**BTPK-based learning: An Interpretable Method for Named Entity Recognition**|Yulin Chen et.al.|[2201.09523v1](http://arxiv.org/abs/2201.09523v1)|null|
|**2022-01-24**|**Bias in Automated Speaker Recognition**|Wiebke Toussaint et.al.|[2201.09486v1](http://arxiv.org/abs/2201.09486v1)|null|
|**2022-01-24**|**Cobol2Vec: Learning Representations of Cobol code**|Ankit Kulshrestha et.al.|[2201.09448v1](http://arxiv.org/abs/2201.09448v1)|null|
|**2022-01-24**|**Improving Chest X-Ray Report Generation by Leveraging Warm-Starting**|Aaron Nicolson et.al.|[2201.09405v1](http://arxiv.org/abs/2201.09405v1)|**[link](https://github.com/aehrc/cvt2distilgpt2)**|
|**2022-01-23**|**Efficient and Robust Classification for Sparse Attacks**|Mark Beliaev et.al.|[2201.09369v1](http://arxiv.org/abs/2201.09369v1)|null|
|**2022-01-23**|**A Large and Diverse Arabic Corpus for Language Modeling**|Abbas Raza Ali et.al.|[2201.09227v1](http://arxiv.org/abs/2201.09227v1)|null|
|**2022-01-22**|**Visual Representation Learning with Self-Supervised Attention for Low-Label High-data Regime**|Prarthana Bhattacharyya et.al.|[2201.08951v1](http://arxiv.org/abs/2201.08951v1)|**[link](https://github.com/AutoVision-cloud/SSL-ViT-lowlabel-highdata)**|
|**2022-01-21**|**Recurrent Neural Networks with Mixed Hierarchical Structures and EM Algorithm for Natural Language Processing**|Zhaoxin Luo et.al.|[2201.08919v1](http://arxiv.org/abs/2201.08919v1)|null|
|**2022-01-21**|**Privacy Policies Across the Ages: Content and Readability of Privacy Policies 1996--2021**|Isabel Wagner et.al.|[2201.08739v1](http://arxiv.org/abs/2201.08739v1)|null|
|**2022-01-21**|**Improved Random Features for Dot Product Kernels**|Jonas Wacker et.al.|[2201.08712v1](http://arxiv.org/abs/2201.08712v1)|null|
|**2022-01-21**|**Gender Bias in Text: Labeled Datasets and Lexicons**|Jad Doughman et.al.|[2201.08675v1](http://arxiv.org/abs/2201.08675v1)|null|
|**2022-01-20**|**Learning-based Hybrid Local Search for the Hard-label Textual Attack**|Zhen Yu et.al.|[2201.08193v1](http://arxiv.org/abs/2201.08193v1)|null|
|**2022-01-20**|**NLP Methods in Host-based Intrusion Detection Systems: A Systematic Review and Future Directions**|Zarrin Tasnim Sworna et.al.|[2201.08066v1](http://arxiv.org/abs/2201.08066v1)|null|
|**2022-01-20**|**AstBERT: Enabling Language Model for Code Understanding with Abstract Syntax Tree**|Rong Liang et.al.|[2201.07984v1](http://arxiv.org/abs/2201.07984v1)|null|
|**2022-01-19**|**CPTAM: Constituency Parse Tree Aggregation Method**|Adithya Kulkarni et.al.|[2201.07905v1](http://arxiv.org/abs/2201.07905v1)|**[link](https://github.com/kulkarniadithya/cptam)**|
|**2022-01-19**|**Improving Biomedical Information Retrieval with Neural Retrievers**|Man Luo et.al.|[2201.07745v1](http://arxiv.org/abs/2201.07745v1)|null|
|**2022-01-19**|**Data-to-Value: An Evaluation-First Methodology for Natural Language Projects**|Jochen L. Leidner et.al.|[2201.07725v1](http://arxiv.org/abs/2201.07725v1)|null|
|**2022-01-19**|**Writing about COVID-19 vaccines: Emotional profiling unravels how mainstream and alternative press framed AstraZeneca, Pfizer and vaccination campaigns**|Alfonso Semeraro et.al.|[2201.07538v1](http://arxiv.org/abs/2201.07538v1)|null|
|**2022-01-19**|**Development of Fake News Model using Machine Learning through Natural Language Processing**|Sajjad Ahmed et.al.|[2201.07489v1](http://arxiv.org/abs/2201.07489v1)|null|
|**2022-01-21**|**Learning grammar with a divide-and-concur neural network**|Sean Deyo et.al.|[2201.07341v2](http://arxiv.org/abs/2201.07341v2)|null|
|**2022-01-18**|**Towards Controllable Protein design with Conditional Transformers**|Noelia Ferruz et.al.|[2201.07338v1](http://arxiv.org/abs/2201.07338v1)|null|
|**2022-01-18**|**Benchmark datasets driving artificial intelligence development fail to capture the needs of medical professionals**|Kathrin Blagec et.al.|[2201.07040v1](http://arxiv.org/abs/2201.07040v1)|null|
|**2022-01-18**|**Hierarchical Neural Network Approaches for Long Document Classification**|Snehal Khandve et.al.|[2201.06774v1](http://arxiv.org/abs/2201.06774v1)|null|
|**2022-01-18**|**DEFER: Distributed Edge Inference for Deep Neural Networks**|Arjun Parthasarathy et.al.|[2201.06769v1](http://arxiv.org/abs/2201.06769v1)|null|
|**2022-01-17**|**A Literature Survey of Recent Advances in Chatbots**|Guendalina Caldarini et.al.|[2201.06657v1](http://arxiv.org/abs/2201.06657v1)|null|
|**2022-01-17**|**Towards a Cleaner Document-Oriented Multilingual Crawled Corpus**|Julien Abadji et.al.|[2201.06642v1](http://arxiv.org/abs/2201.06642v1)|null|
|**2022-01-17**|**VAQF: Fully Automatic Software-hardware Co-design Framework for Low-bit Vision Transformer**|Mengshu Sun et.al.|[2201.06618v1](http://arxiv.org/abs/2201.06618v1)|null|
|**2022-01-17**|**Chatbot System Architecture**|Moataz Mohammed et.al.|[2201.06348v1](http://arxiv.org/abs/2201.06348v1)|null|
|**2022-01-17**|**Continual Transformers: Redundancy-Free Attention for Online Inference**|Lukas Hedegaard et.al.|[2201.06268v1](http://arxiv.org/abs/2201.06268v1)|**[link](https://github.com/lukashedegaard/continual-transformers)**|
|**2022-01-17**|**Using Machine Learning Based Models for Personality Recognition**|Fatemeh Mohades Deilami et.al.|[2201.06248v1](http://arxiv.org/abs/2201.06248v1)|null|
|**2022-01-17**|**MT-GBM: A Multi-Task Gradient Boosting Machine with Shared Decision Trees**|ZhenZhe Ying et.al.|[2201.06239v1](http://arxiv.org/abs/2201.06239v1)|**[link](https://github.com/mtgbmcode/mtgbmcode)**|
|**2022-01-14**|**Multilingual Open Text 1.0: Public Domain News in 44 Languages**|Chester Palen-Michel et.al.|[2201.05609v1](http://arxiv.org/abs/2201.05609v1)|null|
|**2022-01-13**|**Making a (Counterfactual) Difference One Rationale at a Time**|Mitchell Plyler et.al.|[2201.05177v1](http://arxiv.org/abs/2201.05177v1)|**[link](https://github.com/mlplyler/cfs_for_rationales)**|
|**2022-01-13**|**Neural Approaches to Conversational Information Retrieval**|Jianfeng Gao et.al.|[2201.05176v1](http://arxiv.org/abs/2201.05176v1)|null|
|**2022-01-13**|**Feature-rich multiplex lexical networks reveal mental strategies of early language learning**|Salvatore Citraro et.al.|[2201.05061v1](http://arxiv.org/abs/2201.05061v1)|null|
|**2022-01-11**|**A Feature Extraction based Model for Hate Speech Identification**|Salar Mohtaj et.al.|[2201.04227v1](http://arxiv.org/abs/2201.04227v1)|null|
|**2022-01-11**|**Deep Learning-Aided 6G Wireless Networks: A Comprehensive Survey of Revolutionary PHY Architectures**|Burak Ozpoyraz et.al.|[2201.03866v1](http://arxiv.org/abs/2201.03866v1)|null|
|**2022-01-11**|**Turkish Sentiment Analysis Using Machine Learning Methods: Application on Online Food Order Site Reviews**|Özlem Aktaş et.al.|[2201.03848v1](http://arxiv.org/abs/2201.03848v1)|null|
|**2022-01-10**|**Informal Persian Universal Dependency Treebank**|Roya Kabiri et.al.|[2201.03679v1](http://arxiv.org/abs/2201.03679v1)|**[link](https://github.com/royakabiri/modified_seraji)**|
|**2022-01-10**|**Polish Natural Language Inference and Factivity -- an Expert-based Dataset and Benchmarks**|Daniel Ziembicki et.al.|[2201.03521v1](http://arxiv.org/abs/2201.03521v1)|null|
|**2022-01-10**|**A Survey of Plagiarism Detection Systems: Case of Use with English, French and Arabic Languages**|Mehdi Abdelhamid et.al.|[2201.03423v1](http://arxiv.org/abs/2201.03423v1)|null|
|**2022-01-10**|**Morphological Analysis of Japanese Hiragana Sentences using the BI-LSTM CRF Model**|Jun Izutsu et.al.|[2201.03366v1](http://arxiv.org/abs/2201.03366v1)|null|
|**2022-01-10**|**Better Modeling the Programming World with Code Concept Graphs-augmented Multi-modal Learning**|Martin Weyssow et.al.|[2201.03346v1](http://arxiv.org/abs/2201.03346v1)|null|
|**2022-01-10**|**COIN: Counterfactual Image Generation for VQA Interpretation**|Zeyd Boukhers et.al.|[2201.03342v1](http://arxiv.org/abs/2201.03342v1)|null|
## Sequence Annotation
|Publish Date|Title|Authors|PDF|Code|
|---|---|---|---|---|
|**2022-04-09**|**A dataset of ant colonies motion trajectories in indoor and outdoor scenes for social cluster behavior study**|Meihong Wu et.al.|[2204.04380v1](http://arxiv.org/abs/2204.04380v1)|null|
|**2022-04-04**|**LISA: Learning Implicit Shape and Appearance of Hands**|Enric Corona et.al.|[2204.01695v1](http://arxiv.org/abs/2204.01695v1)|null|
|**2022-03-31**|**Scientific and Technological Text Knowledge Extraction Method of based on Word Mixing and GRU**|Suyu Ouyang et.al.|[2203.17079v1](http://arxiv.org/abs/2203.17079v1)|null|
|**2020-06-14**|**A group-theoretic approach to elimination measurements of qubit sequences**|Mark Hillery et.al.|[2002.02055v2](http://arxiv.org/abs/2002.02055v2)|null|
|**2019-09-28**|**WASA: A Web Application for Sequence Annotation**|Fahad AlGhamdi et.al.|[1909.13008v1](http://arxiv.org/abs/1909.13008v1)|null|
|**2019-08-07**|**Visual Coin-Tracking: Tracking of Planar Double-Sided Objects**|Jonáš Šerých et.al.|[1908.02664v1](http://arxiv.org/abs/1908.02664v1)|null|
|**2019-08-10**|**Two-stage Training for Chinese Dialect Recognition**|Zongze Ren et.al.|[1908.02284v2](http://arxiv.org/abs/1908.02284v2)|null|
|**2019-04-19**|**LATTE: Accelerating LiDAR Point Cloud Annotation via Sensor Fusion, One-Click Annotation, and Tracking**|Bernie Wang et.al.|[1904.09085v1](http://arxiv.org/abs/1904.09085v1)|**[link](https://github.com/bernwang/latte)**|
|**2019-04-18**|**Aggregation Cross-Entropy for Sequence Recognition**|Zecheng Xie et.al.|[1904.08364v2](http://arxiv.org/abs/1904.08364v2)|**[link](https://github.com/summerlvsong/Aggregation-Cross-Entropy)**|
|**2018-11-18**|**Harmonic Recomposition using Conditional Autoregressive Modeling**|Kyle Kastner et.al.|[1811.07426v1](http://arxiv.org/abs/1811.07426v1)|**[link](https://github.com/kastnerkyle/harmonic_recomposition_workshop)**|
|**2018-04-04**|**Object Referring in Videos with Language and Human Gaze**|Arun Balajee Vasudevan et.al.|[1801.01582v2](http://arxiv.org/abs/1801.01582v2)|null|
|**2018-04-28**|**Per-sample immunoglobulin germline inference from B cell receptor deep sequencing data**|Duncan K. Ralph et.al.|[1711.05843v2](http://arxiv.org/abs/1711.05843v2)|**[link](https://github.com/psathyrella/partis)**|
|**2016-12-28**|**Constructing Tight Gabor Frames Using CAZAC Sequences**|Mark Magsino et.al.|[1611.00818v2](http://arxiv.org/abs/1611.00818v2)|null|
## Named Entity Recognition
|Publish Date|Title|Authors|PDF|Code|
|---|---|---|---|---|
|**2022-04-11**|**Entities, Dates, and Languages: Zero-Shot on Historical Texts with T0**|Francesco De Toni et.al.|[2204.05211v1](http://arxiv.org/abs/2204.05211v1)|null|
|**2022-04-11**|**"FIJO": a French Insurance Soft Skill Detection Dataset**|David Beauchemin et.al.|[2204.05208v1](http://arxiv.org/abs/2204.05208v1)|**[link](https://github.com/iid-ulaval/fijo-code)**|
|**2022-04-11**|**A Comparative Study of Pre-trained Encoders for Low-Resource Named Entity Recognition**|Yuxuan Chen et.al.|[2204.04980v1](http://arxiv.org/abs/2204.04980v1)|**[link](https://github.com/dfki-nlp/fewie)**|
|**2022-04-10**|**Few-Shot Cross-lingual Transfer for Coarse-grained De-identification of Code-Mixed Clinical Texts**|Saadullah Amin et.al.|[2204.04775v1](http://arxiv.org/abs/2204.04775v1)|**[link](https://github.com/suamin/t2ner)**|
|**2022-04-10**|**Breaking Character: Are Subwords Good Enough for MRLs After All?**|Omri Keren et.al.|[2204.04748v1](http://arxiv.org/abs/2204.04748v1)|null|
|**2022-04-09**|**MINER: Improving Out-of-Vocabulary Named Entity Recognition from an Information Theoretic Perspective**|Xiao Wang et.al.|[2204.04391v1](http://arxiv.org/abs/2204.04391v1)|null|
|**2022-04-08**|**BioRED: A Comprehensive Biomedical Relation Extraction Dataset**|Ling Luo et.al.|[2204.04263v1](http://arxiv.org/abs/2204.04263v1)|null|
|**2022-04-08**|**RuBioRoBERTa: a pre-trained biomedical language model for Russian language biomedical text mining**|Alexander Yalunin et.al.|[2204.03951v1](http://arxiv.org/abs/2204.03951v1)|null|
|**2022-04-08**|**BioBART: Pretraining and Evaluation of A Biomedical Generative Language Model**|Hongyi Yuan et.al.|[2204.03905v1](http://arxiv.org/abs/2204.03905v1)|**[link](https://github.com/GanjinZero/BioBART)**|
|**2022-04-04**|**Product Market Demand Analysis Using NLP in Banglish Text with Sentiment Analysis and Named Entity Recognition**|Md Sabbir Hossain et.al.|[2204.01827v1](http://arxiv.org/abs/2204.01827v1)|null|
|**2022-04-02**|**End-to-end model for named entity recognition from speech without paired training data**|Salima Mdhaffar et.al.|[2204.00803v1](http://arxiv.org/abs/2204.00803v1)|null|
|**2022-04-02**|**A Dual-Contrastive Framework for Low-Resource Cross-Lingual Named Entity Recognition**|Yingwen Fu et.al.|[2204.00796v1](http://arxiv.org/abs/2204.00796v1)|null|
|**2022-03-31**|**$k$NN-NER: Named Entity Recognition with Nearest Neighbor Search**|Shuhe Wang et.al.|[2203.17103v1](http://arxiv.org/abs/2203.17103v1)|**[link](https://github.com/shannonai/knn-ner)**|
|**2022-03-31**|**Scientific and Technological Text Knowledge Extraction Method of based on Word Mixing and GRU**|Suyu Ouyang et.al.|[2203.17079v1](http://arxiv.org/abs/2203.17079v1)|null|
|**2022-03-28**|**Federated Named Entity Recognition**|Joel Mathew et.al.|[2203.15101v1](http://arxiv.org/abs/2203.15101v1)|null|
|**2022-03-28**|**Using Domain Knowledge for Low Resource Named Entity Recognition**|Yuan Shi et.al.|[2203.14738v1](http://arxiv.org/abs/2203.14738v1)|null|
|**2022-03-28**|**Hierarchical Transformer Model for Scientific Named Entity Recognition**|Urchade Zaratiana et.al.|[2203.14710v1](http://arxiv.org/abs/2203.14710v1)|**[link](https://github.com/urchade/hner)**|
|**2022-03-28**|**Computer Science Named Entity Recognition in the Open Research Knowledge Graph**|Jennifer D'Souza et.al.|[2203.14579v1](http://arxiv.org/abs/2203.14579v1)|**[link](https://github.com/jd-coderepos/contributions-ner-cs)**|
|**2022-03-24**|**Mono vs Multilingual BERT: A Case Study in Hindi and Marathi Named Entity Recognition**|Onkar Litake et.al.|[2203.12907v1](http://arxiv.org/abs/2203.12907v1)|null|
|**2022-03-23**|**Few-shot Named Entity Recognition with Self-describing Networks**|Jiawei Chen et.al.|[2203.12252v1](http://arxiv.org/abs/2203.12252v1)|**[link](https://github.com/chen700564/sdnet)**|
|**2022-03-22**|**SU-NLP at SemEval-2022 Task 11: Complex Named Entity Recognition with Entity Linking**|Buse Çarık et.al.|[2203.11841v1](http://arxiv.org/abs/2203.11841v1)|null|
|**2022-03-21**|**Neural Token Segmentation for High Token-Internal Complexity**|Idan Brusilovsky et.al.|[2203.10845v1](http://arxiv.org/abs/2203.10845v1)|null|
|**2022-03-21**|**An Intellectual Property Entity Recognition Method Based on Transformer and Technological Word Information**|Yuhui Wang et.al.|[2203.10717v1](http://arxiv.org/abs/2203.10717v1)|null|
|**2022-03-21**|**Leveraging Expert Guided Adversarial Augmentation For Improving Generalization in Named Entity Recognition**|Aaron Reich et.al.|[2203.10693v1](http://arxiv.org/abs/2203.10693v1)|**[link](https://github.com/gt-salt/guided-adversarial-augmentation)**|
|**2022-03-20**|**Parallel Instance Query Network for Named Entity Recognition**|Yongliang Shen et.al.|[2203.10545v1](http://arxiv.org/abs/2203.10545v1)|**[link](https://github.com/tricktreat/piqn)**|
|**2022-03-16**|**Label Semantics for Few Shot Named Entity Recognition**|Jie Ma et.al.|[2203.08985v1](http://arxiv.org/abs/2203.08985v1)|null|
|**2022-03-17**|**KinyaBERT: a Morphology-aware Kinyarwanda Language Model**|Antoine Nzeyimana et.al.|[2203.08459v2](http://arxiv.org/abs/2203.08459v2)|**[link](https://github.com/anzeyimana/kinyabert-acl2022)**|
|**2022-03-16**|**Thinking about GPT-3 In-Context Learning for Biomedical IE? Think Again**|Bernal Jiménez Gutiérrez et.al.|[2203.08410v1](http://arxiv.org/abs/2203.08410v1)|null|
|**2022-03-14**|**WCL-BBCD: A Contrastive Learning and Knowledge Graph Approach to Named Entity Recognition**|Renjie Zhou et.al.|[2203.06925v1](http://arxiv.org/abs/2203.06925v1)|null|
|**2022-03-13**|**ProtagonistTagger -- a Tool for Entity Linkage of Persons in Texts from Various Languages and Domains**|Weronika Lajewska et.al.|[2203.06746v1](http://arxiv.org/abs/2203.06746v1)|null|
|**2022-03-12**|**A Survey in Adversarial Defences and Robustness in NLP**|Shreya Goyal et.al.|[2203.06414v1](http://arxiv.org/abs/2203.06414v1)|null|
|**2022-03-12**|**MarkBERT: Marking Word Boundaries Improves Chinese BERT**|Linyang Li et.al.|[2203.06378v1](http://arxiv.org/abs/2203.06378v1)|null|
|**2022-03-09**|**Pretrained Domain-Specific Language Model for General Information Retrieval Tasks in the AEC Domain**|Zhe Zheng et.al.|[2203.04729v1](http://arxiv.org/abs/2203.04729v1)|**[link](https://github.com/skydustz/aec-domain-corpora)**|
|**2022-03-09**|**Nested Named Entity Recognition as Latent Lexicalized Constituency Parsing**|Chao Lou et.al.|[2203.04665v1](http://arxiv.org/abs/2203.04665v1)|null|
|**2022-03-08**|**InstructionNER: A Multi-Task Instruction-Based Generative Framework for Few-shot NER**|Liwen Wang et.al.|[2203.03903v1](http://arxiv.org/abs/2203.03903v1)|null|
|**2022-02-13**|**LMN at SemEval-2022 Task 11: A Transformer-based System for English Named Entity Recognition**|Ngoc Minh Lai et.al.|[2203.03546v1](http://arxiv.org/abs/2203.03546v1)|null|
|**2022-03-07**|**USTC-NELSLIP at SemEval-2022 Task 11: Gazetteer-Adapted Integration Network for Multilingual Complex Named Entity Recognition**|Beiduo Chen et.al.|[2203.03216v1](http://arxiv.org/abs/2203.03216v1)|**[link](https://github.com/mckysse/gain)**|
|**2022-03-04**|**QaNER: Prompting Question Answering Models for Few-shot Named Entity Recognition**|Andy T. Liu et.al.|[2203.01543v2](http://arxiv.org/abs/2203.01543v2)|null|
|**2022-03-01**|**DAMO-NLP at SemEval-2022 Task 11: A Knowledge-based System for Multilingual Named Entity Recognition**|Xinyu Wang et.al.|[2203.00545v1](http://arxiv.org/abs/2203.00545v1)|**[link](https://github.com/alibaba-nlp/kb-ner)**|
|**2022-02-28**|**ParaNames: A Massively Multilingual Entity Name Corpus**|Jonne Sälevä et.al.|[2202.14035v1](http://arxiv.org/abs/2202.14035v1)|**[link](https://github.com/bltlab/paranames)**|
|**2022-02-25**|**Deep neural networks for fine-grained surveillance of overdose mortality**|Patrick J. Ward et.al.|[2202.12448v1](http://arxiv.org/abs/2202.12448v1)|null|
|**2022-02-18**|**DataMUX: Data Multiplexing for Neural Networks**|Vishvak Murahari et.al.|[2202.09318v1](http://arxiv.org/abs/2202.09318v1)|**[link](https://github.com/princeton-nlp/datamux)**|
|**2022-02-17**|**AISHELL-NER: Named Entity Recognition from Chinese Speech**|Boli Chen et.al.|[2202.08533v1](http://arxiv.org/abs/2202.08533v1)|**[link](https://github.com/alibaba-nlp/aishell-ner)**|
|**2022-02-15**|**Towards Effective Multi-Task Interaction for Entity-Relation Extraction: A Unified Framework with Selection Recurrent Network**|An Wang et.al.|[2202.07281v1](http://arxiv.org/abs/2202.07281v1)|null|
|**2022-02-08**|**A two-step approach to leverage contextual data: speech recognition in air-traffic communications**|Iuliia Nigmatulina et.al.|[2202.03725v1](http://arxiv.org/abs/2202.03725v1)|null|
|**2022-02-05**|**Adaptive Fine-Tuning of Transformer-Based Language Models for Named Entity Recognition**|Felix Stollenwerk et.al.|[2202.02617v1](http://arxiv.org/abs/2202.02617v1)|**[link](https://github.com/flxst/nerblackbox)**|
|**2022-01-29**|**A Simple Information-Based Approach to Unsupervised Domain-Adaptive Aspect-Based Sentiment Analysis**|Xiang Chen et.al.|[2201.12549v1](http://arxiv.org/abs/2201.12549v1)|**[link](https://github.com/casparswift/da_mim)**|
|**2022-02-12**|**Clinical-Longformer and Clinical-BigBird: Transformers for long clinical sequences**|Yikuan Li et.al.|[2201.11838v2](http://arxiv.org/abs/2201.11838v2)|**[link](https://github.com/luoyuanlab/clinical-longformer)**|
|**2022-01-25**|**Distantly supervised end-to-end medical entity extraction from electronic health records with human-level quality**|Alexander Nesterov et.al.|[2201.10463v1](http://arxiv.org/abs/2201.10463v1)|null|
|**2022-01-24**|**Razmecheno: Named Entity Recognition from Digital Archive of Diaries "Prozhito"**|Timofey Atnashev et.al.|[2201.09997v1](http://arxiv.org/abs/2201.09997v1)|null|
|**2022-01-24**|**BTPK-based learning: An Interpretable Method for Named Entity Recognition**|Yulin Chen et.al.|[2201.09523v1](http://arxiv.org/abs/2201.09523v1)|null|
|**2022-01-18**|**Annotating the Tweebank Corpus on Named Entity Recognition and Building NLP Models for Social Media Analysis**|Hang Jiang et.al.|[2201.07281v1](http://arxiv.org/abs/2201.07281v1)|**[link](https://github.com/social-machines/tweebanknlp)**|
|**2022-01-17**|**RuMedBench: A Russian Medical Language Understanding Benchmark**|Pavel Blinov et.al.|[2201.06499v1](http://arxiv.org/abs/2201.06499v1)|null|
|**2022-01-18**|**A Warm Start and a Clean Crawled Corpus -- A Recipe for Good Language Models**|Vésteinn Snæbjarnarson et.al.|[2201.05601v2](http://arxiv.org/abs/2201.05601v2)|null|
|**2022-01-24**|**DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population**|Ningyu Zhang et.al.|[2201.03335v2](http://arxiv.org/abs/2201.03335v2)|**[link](https://github.com/zjunlp/deepke)**|
|**2021-12-31**|**A Deep Learning Approach to Integrate Human-Level Understanding in a Chatbot**|Afia Fairoose Abedin et.al.|[2201.02735v1](http://arxiv.org/abs/2201.02735v1)|null|
|**2022-01-10**|**BERN2: an advanced neural biomedical named entity recognition and normalization tool**|Mujeen Sung et.al.|[2201.02080v2](http://arxiv.org/abs/2201.02080v2)|**[link](https://github.com/dmis-lab/bern2)**|
|**2022-01-05**|**Monitoring Energy Trends through Automatic Information Extraction**|Dilek Küçük et.al.|[2201.01559v1](http://arxiv.org/abs/2201.01559v1)|null|
|**2022-01-06**|**Mining Adverse Drug Reactions from Unstructured Mediums at Scale**|Hasham Ul Haq et.al.|[2201.01405v2](http://arxiv.org/abs/2201.01405v2)|null|
|**2022-01-04**|**Exploratory Analysis of Academic Collaborations between French and US**|George Panagopoulos et.al.|[2201.01346v1](http://arxiv.org/abs/2201.01346v1)|null|
|**2022-01-04**|**Semantics-Preserved Distortion for Personal Privacy Protection**|Letian Peng et.al.|[2201.00965v1](http://arxiv.org/abs/2201.00965v1)|null|
|**2021-12-30**|**KIND: an Italian Multi-Domain Dataset for Named Entity Recognition**|Teresa Paccosi et.al.|[2112.15099v1](http://arxiv.org/abs/2112.15099v1)|**[link](https://github.com/dhfbk/kind)**|
|**2021-12-25**|**Deeper Clinical Document Understanding Using Relation Extraction**|Hasham Ul Haq et.al.|[2112.13259v1](http://arxiv.org/abs/2112.13259v1)|**[link](https://github.com/JohnSnowLabs/spark-nlp)**|
|**2022-01-11**|**Distilling the Knowledge of Romanian BERTs Using Multiple Teachers**|Andrei-Marius Avram et.al.|[2112.12650v2](http://arxiv.org/abs/2112.12650v2)|**[link](https://github.com/racai-ai/romanian-distilbert)**|
## Text Classification
|Publish Date|Title|Authors|PDF|Code|
|---|---|---|---|---|
|**2022-04-11**|**MGIMN: Multi-Grained Interactive Matching Network for Few-shot Text Classification**|Jianhai Zhang et.al.|[2204.04952v1](http://arxiv.org/abs/2204.04952v1)|null|
|**2022-04-10**|**Multi-Label Clinical Time-Series Generation via Conditional GAN**|Chang Lu et.al.|[2204.04797v1](http://arxiv.org/abs/2204.04797v1)|**[link](https://github.com/luchang-cs/mtgan)**|
|**2022-04-10**|**ME-GCN: Multi-dimensional Edge-Embedded Graph Convolutional Networks for Semi-supervised Text Classification**|Kunze Wang et.al.|[2204.04618v1](http://arxiv.org/abs/2204.04618v1)|null|
|**2022-04-09**|**Understanding, Detecting, and Separating Out-of-Distribution Samples and Adversarial Samples in Text Classification**|Cheng-Han Chiang et.al.|[2204.04458v1](http://arxiv.org/abs/2204.04458v1)|null|
|**2022-04-08**|**Bag-of-Words vs. Sequence vs. Graph vs. Hierarchy for Single- and Multi-Label Text Classification**|Andor Diera et.al.|[2204.03954v1](http://arxiv.org/abs/2204.03954v1)|null|
|**2022-04-08**|**RuBioRoBERTa: a pre-trained biomedical language model for Russian language biomedical text mining**|Alexander Yalunin et.al.|[2204.03951v1](http://arxiv.org/abs/2204.03951v1)|null|
|**2022-04-06**|**A New Dataset for Topic-Based Paragraph Classification in Genocide-Related Court Transcripts**|Miriam Schirmer et.al.|[2204.02712v1](http://arxiv.org/abs/2204.02712v1)|**[link](https://github.com/miriamschirmer/genocide-transcript-corpus)**|
|**2022-04-06**|**Learning to Adapt Clinical Sequences with Residual Mixture of Experts**|Jeong Min Lee et.al.|[2204.02687v1](http://arxiv.org/abs/2204.02687v1)|**[link](https://github.com/leej35/residual-moe)**|
|**2022-04-06**|**DAGAM: Data Augmentation with Generation And Modification**|Byeong-Cheol Jo et.al.|[2204.02633v1](http://arxiv.org/abs/2204.02633v1)|null|
|**2022-04-02**|**Long-tailed Extreme Multi-label Text Classification with Generated Pseudo Label Descriptions**|Ruohong Zhang et.al.|[2204.00958v1](http://arxiv.org/abs/2204.00958v1)|null|
|**2022-04-02**|**Exploiting Local and Global Features in Transformer-based Extreme Multi-label Text Classification**|Ruohong Zhang et.al.|[2204.00933v1](http://arxiv.org/abs/2204.00933v1)|null|
|**2022-04-02**|**Constrained Sequence-to-Tree Generation for Hierarchical Text Classification**|Chao Yu et.al.|[2204.00811v1](http://arxiv.org/abs/2204.00811v1)|null|
|**2022-03-31**|**Open Source MagicData-RAMC: A Rich Annotated Mandarin Conversational(RAMC) Speech Dataset**|Zehui Yang et.al.|[2203.16844v1](http://arxiv.org/abs/2203.16844v1)|null|
|**2022-03-30**|**Combination of Time-domain, Frequency-domain, and Cepstral-domain Acoustic Features for Speech Commands Classification**|Yikang Wang et.al.|[2203.16085v1](http://arxiv.org/abs/2203.16085v1)|null|
|**2022-03-30**|**Understanding Graph Convolutional Networks for Text Classification**|Soyeon Caren Han et.al.|[2203.16060v1](http://arxiv.org/abs/2203.16060v1)|**[link](https://github.com/usydnlp/TextGCN_analysis)**|
|**2022-03-28**|**Few-Shot Learning with Siamese Networks and Label Tuning**|Thomas Müller et.al.|[2203.14655v1](http://arxiv.org/abs/2203.14655v1)|null|
|**2022-04-02**|**Example-based Hypernetworks for Out-of-Distribution Generalization**|Tomer Volk et.al.|[2203.14276v2](http://arxiv.org/abs/2203.14276v2)|**[link](https://github.com/tomervolk/hyper-pada)**|
|**2022-03-24**|**Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets**|Yuxiang Wu et.al.|[2203.12942v1](http://arxiv.org/abs/2203.12942v1)|**[link](https://github.com/jimmycode/gen-debiased-nli)**|
|**2022-03-23**|**Adversarial Training for Improving Model Robustness? Look at Both Prediction and Interpretation**|Hanjie Chen et.al.|[2203.12709v1](http://arxiv.org/abs/2203.12709v1)|**[link](https://github.com/uva-nlp/flat)**|
|**2022-03-23**|**ERNIE-SPARSE: Learning Hierarchical Efficient Transformer Through Regularized Self-Attention**|Yang Liu et.al.|[2203.12276v1](http://arxiv.org/abs/2203.12276v1)|null|
|**2022-03-22**|**Improving Meta-learning for Low-resource Text Classification and Generation via Memory Imitation**|Yingxiu Zhao et.al.|[2203.11670v1](http://arxiv.org/abs/2203.11670v1)|null|
|**2022-03-22**|**Suum Cuique: Studying Bias in Taboo Detection with a Community Perspective**|Osama Khalid et.al.|[2203.11401v1](http://arxiv.org/abs/2203.11401v1)|**[link](https://github.com/jonrusert/suumcuique)**|
|**2022-03-21**|**Academic Resource Text Level Multi-label Classification based on Attention**|Yue Wang et.al.|[2203.10743v1](http://arxiv.org/abs/2203.10743v1)|null|
|**2022-03-20**|**Cluster & Tune: Boost Cold Start Performance in Text Classification**|Eyal Shnarch et.al.|[2203.10581v1](http://arxiv.org/abs/2203.10581v1)|**[link](https://github.com/ibm/intermediate-training-using-clustering)**|
|**2022-03-20**|**A Neural-Symbolic Approach to Natural Language Understanding**|Zhixuan Liu et.al.|[2203.10557v1](http://arxiv.org/abs/2203.10557v1)|null|
|**2022-03-20**|**Entailment Relation Aware Paraphrase Generation**|Abhilasha Sancheti et.al.|[2203.10483v1](http://arxiv.org/abs/2203.10483v1)|null|
|**2022-03-19**|**On Robust Prefix-Tuning for Text Classification**|Zonghan Yang et.al.|[2203.10378v1](http://arxiv.org/abs/2203.10378v1)|**[link](https://github.com/minicheshire/robust-prefix-tuning)**|
|**2022-03-18**|**A new duality on closed convex sets**|Xu Yun et.al.|[2203.09666v1](http://arxiv.org/abs/2203.09666v1)|null|
|**2022-03-17**|**The Analysis of Online Event Streams: Predicting the Next Activity for Anomaly Detection**|Suhwan Lee et.al.|[2203.09619v1](http://arxiv.org/abs/2203.09619v1)|**[link](https://github.com/ghksdl6025/streaming_anomaly_detect)**|
|**2022-03-17**|**RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction**|Yew Ken Chia et.al.|[2203.09101v1](http://arxiv.org/abs/2203.09101v1)|**[link](https://github.com/declare-lab/relationprompt)**|
|**2022-03-16**|**Measuring Fairness of Text Classifiers via Prediction Sensitivity**|Satyapriya Krishna et.al.|[2203.08670v1](http://arxiv.org/abs/2203.08670v1)|null|
|**2022-03-15**|**Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness**|Tejas Gokhale et.al.|[2203.07653v1](http://arxiv.org/abs/2203.07653v1)|null|
|**2022-03-14**|**On the Calibration of Pre-trained Language Models using Mixup Guided by Area Under the Margin and Saliency**|Seo Yeon Park et.al.|[2203.07559v1](http://arxiv.org/abs/2203.07559v1)|null|
|**2022-03-14**|**A Novel Perspective to Look At Attention: Bi-level Attention-based Explainable Topic Modeling for News Classification**|Dairui Liu et.al.|[2203.07216v1](http://arxiv.org/abs/2203.07216v1)|null|
|**2022-03-15**|**SciNLI: A Corpus for Natural Language Inference on Scientific Text**|Mobashir Sadat et.al.|[2203.06728v2](http://arxiv.org/abs/2203.06728v2)|**[link](https://github.com/msadat3/scinli)**|
|**2022-03-12**|**A Survey in Adversarial Defences and Robustness in NLP**|Shreya Goyal et.al.|[2203.06414v1](http://arxiv.org/abs/2203.06414v1)|null|
|**2022-03-12**|**MarkBERT: Marking Word Boundaries Improves Chinese BERT**|Linyang Li et.al.|[2203.06378v1](http://arxiv.org/abs/2203.06378v1)|null|
|**2022-03-11**|**QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization**|Xiuying Wei et.al.|[2203.05740v1](http://arxiv.org/abs/2203.05740v1)|**[link](https://github.com/wimh966/QDrop)**|
|**2022-03-10**|**Faking Fake News for Real Fake News Detection: Propaganda-loaded Training Data Generation**|Kung-Hsiang Huang et.al.|[2203.05386v1](http://arxiv.org/abs/2203.05386v1)|null|
|**2022-03-10**|**TextConvoNet:A Convolutional Neural Network based Architecture for Text Classification**|Sanskar Soni et.al.|[2203.05173v1](http://arxiv.org/abs/2203.05173v1)|null|
|**2022-03-09**|**Neuro-symbolic Natural Logic with Introspective Revision for Natural Language Inference**|Yufei Feng et.al.|[2203.04857v1](http://arxiv.org/abs/2203.04857v1)|null|
|**2022-03-09**|**A practical framework for multi-domain speech recognition and an instance sampling method to neural language modeling**|Yike Zhang et.al.|[2203.04767v1](http://arxiv.org/abs/2203.04767v1)|null|
|**2022-03-09**|**Pretrained Domain-Specific Language Model for General Information Retrieval Tasks in the AEC Domain**|Zhe Zheng et.al.|[2203.04729v1](http://arxiv.org/abs/2203.04729v1)|**[link](https://github.com/skydustz/aec-domain-corpora)**|
|**2022-03-09**|**Memory Efficient Continual Learning for Neural Text Classification**|Beyza Ermis et.al.|[2203.04640v1](http://arxiv.org/abs/2203.04640v1)|null|
|**2022-03-08**|**Incorporating Hierarchy into Text Encoder: a Contrastive Learning Approach for Hierarchical Text Classification**|Zihan Wang et.al.|[2203.03825v1](http://arxiv.org/abs/2203.03825v1)|**[link](https://github.com/wzh9969/contrastive-htc)**|
|**2022-03-04**|**CoNIC Solution**|Wenhua Zhang et.al.|[2203.03415v1](http://arxiv.org/abs/2203.03415v1)|null|
|**2022-03-14**|**Story Point Effort Estimation by Text Level Graph Neural Network**|Hung Phan et.al.|[2203.03062v2](http://arxiv.org/abs/2203.03062v2)|null|
|**2022-03-06**|**Graph Neural Network Enhanced Language Models for Efficient Multilingual Text Classification**|Samujjwal Ghosh et.al.|[2203.02912v1](http://arxiv.org/abs/2203.02912v1)|null|
|**2022-03-04**|**Selective Pseudo-labeling and Class-wise Discriminative Fusion for Sound Event Detection**|Yunhao Liang et.al.|[2203.02191v1](http://arxiv.org/abs/2203.02191v1)|null|
|**2022-03-03**|**Detection of Word Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density Estimation**|KiYoon Yoo et.al.|[2203.01677v1](http://arxiv.org/abs/2203.01677v1)|**[link](https://github.com/anoymous92874838/text-adv-detection)**|
|**2022-02-28**|**Gait Events Prediction using Hybrid CNN-RNN-based Deep Learning models through a Single Waist-worn Wearable Sensor**|Muhammad Zeeshan Arshad et.al.|[2203.00503v1](http://arxiv.org/abs/2203.00503v1)|null|
|**2022-03-01**|**Semi-overlap Functions and Novel Fuzzy Reasoning Algorithms with Applications**|Xiaohong Zhang et.al.|[2203.00437v1](http://arxiv.org/abs/2203.00437v1)|null|
|**2022-03-08**|**EPPAC: Entity Pre-typing Relation Classification with Prompt AnswerCentralizing**|Jiejun Tan et.al.|[2203.00193v2](http://arxiv.org/abs/2203.00193v2)|null|
|**2022-02-28**|**Resolving label uncertainty with implicit posterior models**|Esther Rolf et.al.|[2202.14000v1](http://arxiv.org/abs/2202.14000v1)|**[link](https://github.com/estherrolf/implicit-posterior)**|
|**2022-02-28**|**Text Smoothing: Enhance Various Data Augmentation Methods on Text Classification Tasks**|Xing Wu et.al.|[2202.13840v1](http://arxiv.org/abs/2202.13840v1)|null|
|**2022-02-28**|**Differential equation and probability inspired graph neural networks for latent variable learning**|Zhuangwei Shi et.al.|[2202.13800v1](http://arxiv.org/abs/2202.13800v1)|**[link](https://github.com/zshicode/latent-variable-gnn)**|
|**2022-02-28**|**Cross-Lingual Text Classification with Multilingual Distillation and Zero-Shot-Aware Training**|Ziqing Yang et.al.|[2202.13654v1](http://arxiv.org/abs/2202.13654v1)|null|
|**2022-02-28**|**CINO: A Chinese Minority Pre-trained Language Model**|Ziqing Yang et.al.|[2202.13558v1](http://arxiv.org/abs/2202.13558v1)|null|
|**2022-02-24**|**Can deep neural networks learn process model structure? An assessment framework and analysis**|Jari Peeperkorn et.al.|[2202.11985v1](http://arxiv.org/abs/2202.11985v1)|**[link](https://github.com/jaripeeperkorn/generalizationppm)**|
|**2022-02-23**|**Inference of Affordances and Active Motor Control in Simulated Agents**|Fedor Scholz et.al.|[2202.11532v1](http://arxiv.org/abs/2202.11532v1)|null|
|**2022-02-23**|**Prompt-Learning for Short Text Classification**|Yi Zhu et.al.|[2202.11345v1](http://arxiv.org/abs/2202.11345v1)|null|
|**2022-02-21**|**Interpreting Language Models with Contrastive Explanations**|Kayo Yin et.al.|[2202.10419v1](http://arxiv.org/abs/2202.10419v1)|null|
|**2022-02-21**|**Embarrassingly Simple Performance Prediction for Abductive Natural Language Inference**|Emīls Kadiķis et.al.|[2202.10408v1](http://arxiv.org/abs/2202.10408v1)|**[link](https://github.com/Vaibhavs10/anli-performance-prediction)**|
|**2022-02-20**|**Hierarchical Interpretation of Neural Text Classification**|Hanqi Yan et.al.|[2202.09792v1](http://arxiv.org/abs/2202.09792v1)|null|
|**2022-02-18**|**DataMUX: Data Multiplexing for Neural Networks**|Vishvak Murahari et.al.|[2202.09318v1](http://arxiv.org/abs/2202.09318v1)|**[link](https://github.com/princeton-nlp/datamux)**|
|**2022-02-23**|**Pinpointing Anomaly Events in Logs from Stability Testing -- N-Grams vs. Deep-Learning**|Mika Mäntylä et.al.|[2202.09214v2](http://arxiv.org/abs/2202.09214v2)|**[link](https://github.com/m3soulu/next_event_prediction)**|
|**2022-02-17**|**EBHI:A New Enteroscope Biopsy Histopathological H&E Image Dataset for Image Classification Evaluation**|Weiming Hu et.al.|[2202.08552v1](http://arxiv.org/abs/2202.08552v1)|null|
|**2022-02-16**|**GraphNLI: A Graph-based Natural Language Inference Model for Polarity Prediction in Online Debates**|Vibhor Agarwal et.al.|[2202.08175v1](http://arxiv.org/abs/2202.08175v1)|**[link](https://github.com/socsys/graphnli)**|
|**2022-02-16**|**Decorrelate Irrelevant, Purify Relevant: Overcome Textual Spurious Correlations from a Feature Perspective**|Shihan Dou et.al.|[2202.08048v1](http://arxiv.org/abs/2202.08048v1)|null|
|**2022-02-16**|**ZeroGen: Efficient Zero-shot Learning via Dataset Generation**|Jiacheng Ye et.al.|[2202.07922v1](http://arxiv.org/abs/2202.07922v1)|**[link](https://github.com/jiacheng-ye/zerogen)**|
|**2022-02-14**|**HyLa: Hyperbolic Laplacian Features For Graph Learning**|Tao Yu et.al.|[2202.06854v1](http://arxiv.org/abs/2202.06854v1)|null|
|**2022-02-10**|**Development and Comparison of Scoring Functions in Curriculum Learning**|H. Toprak Kesgin et.al.|[2202.06823v1](http://arxiv.org/abs/2202.06823v1)|null|
|**2022-02-13**|**Incremental user embedding modeling for personalized text classification**|Ruixue Lian et.al.|[2202.06369v1](http://arxiv.org/abs/2202.06369v1)|null|
|**2022-02-12**|**Ultra-fine Entity Typing with Indirect Supervision from Natural Language Inference**|Bangzheng Li et.al.|[2202.06167v1](http://arxiv.org/abs/2202.06167v1)|null|
|**2022-02-11**|**Metadata-Induced Contrastive Learning for Zero-Shot Multi-Label Text Classification**|Yu Zhang et.al.|[2202.05932v1](http://arxiv.org/abs/2202.05932v1)|**[link](https://github.com/yuzhimanhua/micol)**|
|**2022-02-11**|**Predicting Out-of-Distribution Error with the Projection Norm**|Yaodong Yu et.al.|[2202.05834v1](http://arxiv.org/abs/2202.05834v1)|**[link](https://github.com/yaodongyu/projnorm)**|
|**2022-02-11**|**Cross Domain Few-Shot Learning via Meta Adversarial Training**|Jirui Qi et.al.|[2202.05713v1](http://arxiv.org/abs/2202.05713v1)|null|
|**2022-02-11**|**Cyclical Curriculum Learning**|H. Toprak Kesgin et.al.|[2202.05531v1](http://arxiv.org/abs/2202.05531v1)|**[link](https://github.com/cyclicalcurriculum/cyclical-curriculum)**|
|**2022-02-10**|**Case-based reasoning for rare events prediction on strategic sites**|Vincent Vidal et.al.|[2202.04891v1](http://arxiv.org/abs/2202.04891v1)|null|
|**2022-02-10**|**Multi-relation Message Passing for Multi-label Text Classification**|Muberra Ozmen et.al.|[2202.04844v1](http://arxiv.org/abs/2202.04844v1)|**[link](https://github.com/muberraozmen/mrmp)**|
|**2022-02-10**|**AdaPrompt: Adaptive Model Training for Prompt-based NLP**|Yulong Chen et.al.|[2202.04824v1](http://arxiv.org/abs/2202.04824v1)|null|
|**2022-02-09**|**Counterfactual Multi-Token Fairness in Text Classification**|Pranay Lohia et.al.|[2202.03792v2](http://arxiv.org/abs/2202.03792v2)|null|
|**2022-02-07**|**On The Empirical Effectiveness of Unrealistic Adversarial Hardening Against Realistic Adversarial Attacks**|Salijona Dyrmishi et.al.|[2202.03277v1](http://arxiv.org/abs/2202.03277v1)|null|
|**2022-02-07**|**Enhanced Higgs pair production from higgsino decay at the HL-LHC**|Jianpeng Dai et.al.|[2202.03258v1](http://arxiv.org/abs/2202.03258v1)|null|
|**2022-02-07**|**Comparison and Combination of Sentence Embeddings Derived from Different Supervision Signals**|Hayato Tsukagoshi et.al.|[2202.02990v1](http://arxiv.org/abs/2202.02990v1)|null|
|**2022-02-05**|**Improving Probabilistic Models in Text Classification via Active Learning**|Mitchell Bosley et.al.|[2202.02629v1](http://arxiv.org/abs/2202.02629v1)|null|
|**2022-02-05**|**LST: Lexicon-Guided Self-Training for Few-Shot Text Classification**|Hazel Kim et.al.|[2202.02566v1](http://arxiv.org/abs/2202.02566v1)|null|
|**2022-02-08**|**Zero-Shot Aspect-Based Sentiment Analysis**|Lei Shu et.al.|[2202.01924v2](http://arxiv.org/abs/2202.01924v2)|null|
|**2022-02-02**|**Beyond Images: Label Noise Transition Matrix Estimation for Tasks with Lower-Quality Features**|Zhaowei Zhu et.al.|[2202.01273v1](http://arxiv.org/abs/2202.01273v1)|**[link](https://github.com/ucsc-real/est-t-mi)**|
|**2022-01-28**|**Dominant Set-based Active Learning for Text Classification and its Application to Online Social Media**|Toktam A. Oghaz et.al.|[2202.00540v1](http://arxiv.org/abs/2202.00540v1)|null|
|**2022-01-29**|**Maximum Batch Frobenius Norm for Multi-Domain Text Classification**|Yuan Wu et.al.|[2202.00537v1](http://arxiv.org/abs/2202.00537v1)|null|
|**2022-01-30**|**Co-Regularized Adversarial Learning for Multi-Domain Text Classification**|Yuan Wu et.al.|[2201.12796v1](http://arxiv.org/abs/2201.12796v1)|null|
|**2022-01-28**|**Multiple-Source Domain Adaptation via Coordinated Domain Encoders and Paired Classifiers**|Payam Karisani et.al.|[2201.11870v1](http://arxiv.org/abs/2201.11870v1)|**[link](https://github.com/p-karisani/CEPC)**|
|**2022-01-27**|**Clinical-Longformer and Clinical-BigBird: Transformers for long clinical sequences**|Yikuan Li et.al.|[2201.11838v1](http://arxiv.org/abs/2201.11838v1)|null|
|**2022-01-27**|**Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation**|Jixuan Wang et.al.|[2201.11576v1](http://arxiv.org/abs/2201.11576v1)|**[link](https://github.com/jixuan-wang/grad2task)**|
|**2022-01-26**|**Toward a More Populous Online Platform: The Economic Impacts of Compensated Reviews**|Peng Li et.al.|[2201.11051v1](http://arxiv.org/abs/2201.11051v1)|null|
|**2022-01-26**|**Pair-Level Supervised Contrastive Learning for Natural Language Inference**|Shu'ang Li et.al.|[2201.10927v1](http://arxiv.org/abs/2201.10927v1)|**[link](https://github.com/thu-bpm/pairscl)**|
|**2022-01-28**|**A Tight Three-parameter Correlation and Related Classification on Gamma-Ray Bursts**|Shuai Zhang et.al.|[2201.10861v2](http://arxiv.org/abs/2201.10861v2)|null|
|**2022-01-25**|**Suicidal Ideation Detection on Social Media: A Review of Machine Learning Methods**|Asma Abdulsalam et.al.|[2201.10515v1](http://arxiv.org/abs/2201.10515v1)|null|
|**2022-01-24**|**Classification Of Fake News Headline Based On Neural Networks**|Ke Yahan et.al.|[2201.09966v1](http://arxiv.org/abs/2201.09966v1)|null|
|**2022-01-27**|**Table Pre-training: A Survey on Model Architectures, Pretraining Objectives, and Downstream Tasks**|Haoyu Dong et.al.|[2201.09745v2](http://arxiv.org/abs/2201.09745v2)|null|
|**2022-01-21**|**Dual Contrastive Learning: Text Classification via Label-Aware Data Augmentation**|Qianben Chen et.al.|[2201.08702v1](http://arxiv.org/abs/2201.08702v1)|**[link](https://github.com/hiyouga/dual-contrastive-learning)**|
|**2022-01-21**|**Black-box Prompt Learning for Pre-trained Language Models**|Shizhe Diao et.al.|[2201.08531v1](http://arxiv.org/abs/2201.08531v1)|null|
|**2022-01-20**|**Learning-based Hybrid Local Search for the Hard-label Textual Attack**|Zhen Yu et.al.|[2201.08193v1](http://arxiv.org/abs/2201.08193v1)|null|
|**2022-01-19**|**Problem examination for AI methods in product design**|Philipp Rosenthal et.al.|[2201.07642v1](http://arxiv.org/abs/2201.07642v1)|null|
|**2022-01-19**|**Uncovering More Shallow Heuristics: Probing the Natural Language Inference Capacities of Transformer-Based Pre-Trained Language Models Using Syllogistic Patterns**|Reto Gubelmann et.al.|[2201.07614v1](http://arxiv.org/abs/2201.07614v1)|null|
|**2022-01-19**|**Development of Fake News Model using Machine Learning through Natural Language Processing**|Sajjad Ahmed et.al.|[2201.07489v1](http://arxiv.org/abs/2201.07489v1)|null|
|**2022-01-18**|**A Privacy-Preserving Unsupervised Domain Adaptation Framework for Clinical Text Analysis**|Qiyuan An et.al.|[2201.07317v1](http://arxiv.org/abs/2201.07317v1)|null|
|**2022-01-18**|**Hierarchical Neural Network Approaches for Long Document Classification**|Snehal Khandve et.al.|[2201.06774v1](http://arxiv.org/abs/2201.06774v1)|null|
|**2022-01-17**|**Accessibility and Trajectory-Based Text Characterization**|Bárbara C. e Souza et.al.|[2201.06665v1](http://arxiv.org/abs/2201.06665v1)|null|
|**2022-01-17**|**RuMedBench: A Russian Medical Language Understanding Benchmark**|Pavel Blinov et.al.|[2201.06499v1](http://arxiv.org/abs/2201.06499v1)|null|
|**2022-01-16**|**WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation**|Alisa Liu et.al.|[2201.05955v1](http://arxiv.org/abs/2201.05955v1)|null|
|**2022-01-14**|**Model Stability with Continuous Data Updates**|Huiting Liu et.al.|[2201.05692v1](http://arxiv.org/abs/2201.05692v1)|null|
|**2022-01-08**|**Impact of Stop Sets on Stopping Active Learning for Text Classification**|Luke Kurlandski et.al.|[2201.05460v1](http://arxiv.org/abs/2201.05460v1)|null|
|**2022-01-14**|**Eliciting Knowledge from Pretrained Language Models for Prototypical Prompt Verbalizer**|Yinyi Wei et.al.|[2201.05411v1](http://arxiv.org/abs/2201.05411v1)|**[link](https://github.com/ydongd/prototypical-prompt-verbalizer)**|
|**2022-01-12**|**Computational analyses of the topics, sentiments, literariness, creativity and beauty of texts in a large Corpus of English Literature**|Arthur M. Jacobs et.al.|[2201.04356v1](http://arxiv.org/abs/2201.04356v1)|null|
|**2022-01-11**|**Explaining Prediction Uncertainty of Pre-trained Language Models by Detecting Uncertain Words in Inputs**|Hanjie Chen et.al.|[2201.03742v1](http://arxiv.org/abs/2201.03742v1)|null|
|**2022-01-11**|**Pavlovian Signalling with General Value Functions in Agent-Agent Temporal Decision Making**|Andrew Butcher et.al.|[2201.03709v1](http://arxiv.org/abs/2201.03709v1)|null|
|**2022-01-10**|**SCROLLS: Standardized CompaRison Over Long Language Sequences**|Uri Shaham et.al.|[2201.03533v1](http://arxiv.org/abs/2201.03533v1)|**[link](https://github.com/tau-nlp/scrolls)**|
|**2022-01-10**|**Head2Toe: Utilizing Intermediate Representations for Better Transfer Learning**|Utku Evci et.al.|[2201.03529v1](http://arxiv.org/abs/2201.03529v1)|**[link](https://github.com/google-research/head2toe)**|
|**2022-01-10**|**Polish Natural Language Inference and Factivity -- an Expert-based Dataset and Benchmarks**|Daniel Ziembicki et.al.|[2201.03521v1](http://arxiv.org/abs/2201.03521v1)|null|
|**2022-01-10**|**BERT for Sentiment Analysis: Pre-trained and Fine-Tuned Alternatives**|Frederico Souza et.al.|[2201.03382v1](http://arxiv.org/abs/2201.03382v1)|null|
|**2022-01-09**|**Rethink Stealthy Backdoor Attacks in Natural Language Processing**|Lingfeng Shen et.al.|[2201.02993v1](http://arxiv.org/abs/2201.02993v1)|null|
|**2022-01-06**|**A new photometric study of M14 (NGC 6402): An interpretation of the Horizontal Branch and beyond**|M. A. Yepez et.al.|[2201.02160v1](http://arxiv.org/abs/2201.02160v1)|null|
|**2022-01-06**|**Mining Adverse Drug Reactions from Unstructured Mediums at Scale**|Hasham Ul Haq et.al.|[2201.01405v2](http://arxiv.org/abs/2201.01405v2)|null|
## Sentiment Analysis
|Publish Date|Title|Authors|PDF|Code|
|---|---|---|---|---|
|**2022-04-11**|**Survey of Aspect-based Sentiment Analysis Datasets**|Siva Uday Sampreeth Chebolu et.al.|[2204.05232v1](http://arxiv.org/abs/2204.05232v1)|null|
|**2022-04-11**|**Assessment of Massively Multilingual Sentiment Classifiers**|Krzysztof Rajda et.al.|[2204.04937v1](http://arxiv.org/abs/2204.04937v1)|null|
|**2022-04-07**|**Mapping the Multilingual Margins: Intersectional Biases of Sentiment Analysis Systems in English, Spanish, and Arabic**|António Câmara et.al.|[2204.03558v1](http://arxiv.org/abs/2204.03558v1)|null|
|**2022-04-06**|**BiSyn-GAT+: Bi-Syntax Aware Graph Attention Network for Aspect-based Sentiment Analysis**|Shuo Liang et.al.|[2204.03117v1](http://arxiv.org/abs/2204.03117v1)|null|
|**2022-04-04**|**Product Market Demand Analysis Using NLP in Banglish Text with Sentiment Analysis and Named Entity Recognition**|Md Sabbir Hossain et.al.|[2204.01827v1](http://arxiv.org/abs/2204.01827v1)|null|
|**2022-04-02**|**CL-XABSA: Contrastive Learning for Cross-lingual Aspect-based Sentiment Analysis**|Nankai Lin et.al.|[2204.00791v1](http://arxiv.org/abs/2204.00791v1)|null|
|**2022-03-31**|**Dynamic Multimodal Fusion**|Zihui Xue et.al.|[2204.00102v1](http://arxiv.org/abs/2204.00102v1)|null|
|**2022-03-31**|**indic-punct: An automatic punctuation restoration and inverse text normalization framework for Indic languages**|Anirudh Gupta et.al.|[2203.16825v1](http://arxiv.org/abs/2203.16825v1)|**[link](https://github.com/open-speech-ekstep/indic-punct)**|
|**2022-03-30**|**Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysis**|Kai Zhang et.al.|[2203.16369v1](http://arxiv.org/abs/2203.16369v1)|null|
|**2022-03-29**|**Forecasting with Economic News**|Luca Barbaglia et.al.|[2203.15686v1](http://arxiv.org/abs/2203.15686v1)|null|
|**2022-03-29**|**Comparative Evaluations of Visualization Onboarding Methods**|Christina Stoiber et.al.|[2203.15418v1](http://arxiv.org/abs/2203.15418v1)|null|
|**2022-03-27**|**A Survey on Aspect-Based Sentiment Classification**|Gianni Brauwers et.al.|[2203.14266v1](http://arxiv.org/abs/2203.14266v1)|null|
|**2022-03-24**|**Direct parsing to sentiment graphs**|David Samuel et.al.|[2203.13209v1](http://arxiv.org/abs/2203.13209v1)|**[link](https://github.com/jerbarnes/direct_parsing_to_sent_graph)**|
|**2022-03-23**|**M-SENA: An Integrated Platform for Multimodal Sentiment Analysis**|Huisheng Mao et.al.|[2203.12441v1](http://arxiv.org/abs/2203.12441v1)|**[link](https://github.com/thuiar/mmsa-fet)**|
|**2022-03-23**|**A Framework for Fast Polarity Labelling of Massive Data Streams**|Huilin Wu et.al.|[2203.12368v1](http://arxiv.org/abs/2203.12368v1)|**[link](https://github.com/huilinwu2/plstream)**|
|**2022-03-22**|**BERT-ASC: Auxiliary-Sentence Construction for Implicit Aspect Learning in Sentiment Analysis**|Ahmed Murtadha et.al.|[2203.11702v1](http://arxiv.org/abs/2203.11702v1)|**[link](https://github.com/amurtadha/bert-asc)**|
|**2022-03-21**|**Effective Token Graph Modeling using a Novel Labeling Strategy for Structured Sentiment Analysis**|Wenxuan Shi et.al.|[2203.10796v1](http://arxiv.org/abs/2203.10796v1)|null|
|**2022-03-15**|**Fiber Bundle Morphisms as a Framework for Modeling Many-to-Many Maps**|Elizabeth Coda et.al.|[2203.08189v1](http://arxiv.org/abs/2203.08189v1)|null|
|**2022-03-10**|**HiSA-SMFM: Historical and Sentiment Analysis based Stock Market Forecasting Model**|Ishu Gupta et.al.|[2203.08143v1](http://arxiv.org/abs/2203.08143v1)|null|
|**2022-03-14**|**Towards Unifying the Label Space for Aspect- and Sentence-based Sentiment Analysis**|Yiming Zhang et.al.|[2203.07090v1](http://arxiv.org/abs/2203.07090v1)|null|
|**2022-03-20**|**A Systematic Review on Affective Computing: Emotion Models, Databases, and Recent Advances**|Yan Wang et.al.|[2203.06935v3](http://arxiv.org/abs/2203.06935v3)|null|
|**2022-03-13**|**Investigating the Impact of COVID-19 on Education by Social Network Mining**|Mohadese Jamalian et.al.|[2203.06584v1](http://arxiv.org/abs/2203.06584v1)|null|
|**2022-03-11**|**Towards Analyzing the Bias of News Recommender Systems Using Sentiment and Stance Detection**|Mehwish Alam et.al.|[2203.05824v1](http://arxiv.org/abs/2203.05824v1)|null|
|**2022-03-04**|**Dynamic Backdoors with Global Average Pooling**|Stefanos Koffas et.al.|[2203.02079v1](http://arxiv.org/abs/2203.02079v1)|null|
|**2022-03-03**|**Detection of Word Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density Estimation**|KiYoon Yoo et.al.|[2203.01677v1](http://arxiv.org/abs/2203.01677v1)|**[link](https://github.com/anoymous92874838/text-adv-detection)**|
|**2022-03-02**|**A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challenges**|Wenxuan Zhang et.al.|[2203.01054v1](http://arxiv.org/abs/2203.01054v1)|null|
|**2022-03-01**|**Sentiment Word Aware Multimodal Refinement for Multimodal Sentiment Analysis with ASR Errors**|Yang Wu et.al.|[2203.00257v1](http://arxiv.org/abs/2203.00257v1)|**[link](https://github.com/albertwy/SWRM)**|
|**2022-02-28**|**TraceNet: Tracing and Locating the Key Elements in Sentiment Analysis**|Qinghua Zhao et.al.|[2202.13812v1](http://arxiv.org/abs/2202.13812v1)|**[link](https://github.com/lshowway/tracenet)**|
|**2022-02-28**|**MSCTD: A Multimodal Sentiment Chat Translation Dataset**|Yunlong Liang et.al.|[2202.13645v1](http://arxiv.org/abs/2202.13645v1)|**[link](https://github.com/xl2248/msctd)**|
|**2022-02-24**|**KESA: A Knowledge Enhanced Approach For Sentiment Analysis**|Qinghua Zhao et.al.|[2202.12093v1](http://arxiv.org/abs/2202.12093v1)|**[link](https://github.com/lshowway/kesa)**|
|**2022-02-23**|**Commonsense Reasoning for Identifying and Understanding the Implicit Need of Help and Synthesizing Assistive Actions**|Maëlic Neau et.al.|[2202.11337v1](http://arxiv.org/abs/2202.11337v1)|null|
|**2022-02-22**|**Utilizing Out-Domain Datasets to Enhance Multi-Task Citation Analysis**|Dominique Mercier et.al.|[2202.10884v1](http://arxiv.org/abs/2202.10884v1)|null|
|**2022-02-21**|**Domain-level Pairwise Semantic Interaction for Aspect-Based Sentiment Classification**|Zhenxin Wu et.al.|[2202.10032v1](http://arxiv.org/abs/2202.10032v1)|null|
|**2022-02-16**|**Towards a Better Understanding of Online Influence: Differences in Twitter CommunicationBetween Companies and Influencers**|Diana C. Hernandez-Bocanegra et.al.|[2202.07986v1](http://arxiv.org/abs/2202.07986v1)|null|
|**2022-02-14**|**Aspect Based Sentiment Analysis Using Spectral Temporal Graph Neural Network**|Abir Chakraborty et.al.|[2202.06776v1](http://arxiv.org/abs/2202.06776v1)|null|
|**2022-02-11**|**Using Random Perturbations to Mitigate Adversarial Attacks on Sentiment Analysis Models**|Abigail Swenor et.al.|[2202.05758v1](http://arxiv.org/abs/2202.05758v1)|null|
|**2022-02-11**|**Hindi/Bengali Sentiment Analysis Using Transfer Learning and Joint Dual Input Learning with Self Attention**|Shahrukh Khan et.al.|[2202.05457v1](http://arxiv.org/abs/2202.05457v1)|**[link](https://github.com/shahrukhx01/nnti_hindi_bengali_sentiment_analysis/tree/main/src)**|
|**2022-02-07**|**Gender stereotypes in the mediated personalization of politics: Empirical evidence from a lexical, syntactic and sentiment analysis**|Emanuele Brugnoli et.al.|[2202.03083v1](http://arxiv.org/abs/2202.03083v1)|null|
|**2022-02-05**|**Aspect-based Sentiment Analysis through EDU-level Attentions**|Ting Lin et.al.|[2202.02535v1](http://arxiv.org/abs/2202.02535v1)|null|
|**2022-02-15**|**Zero-Shot Aspect-Based Sentiment Analysis**|Lei Shu et.al.|[2202.01924v3](http://arxiv.org/abs/2202.01924v3)|null|
|**2022-02-01**|**Politics and Virality in the Time of Twitter: A Large-Scale Cross-Party Sentiment Analysis in Greece, Spain and United Kingdom**|Dimosthenis Antypas et.al.|[2202.00396v1](http://arxiv.org/abs/2202.00396v1)|**[link](https://github.com/cardiffnlp/politics-and-virality-twitter)**|
|**2022-02-08**|**Active Learning Over Multiple Domains in Natural Language Tasks**|Shayne Longpre et.al.|[2202.00254v2](http://arxiv.org/abs/2202.00254v2)|null|
|**2022-01-29**|**A Deep CNN Architecture with Novel Pooling Layer Applied to Two Sudanese Arabic Sentiment Datasets**|Mustafa Mhamed et.al.|[2201.12664v1](http://arxiv.org/abs/2201.12664v1)|null|
|**2022-01-29**|**A Simple Information-Based Approach to Unsupervised Domain-Adaptive Aspect-Based Sentiment Analysis**|Xiang Chen et.al.|[2201.12549v1](http://arxiv.org/abs/2201.12549v1)|**[link](https://github.com/casparswift/da_mim)**|
|**2022-01-19**|**Predicting The Stock Trend Using News Sentiment Analysis and Technical Indicators in Spark**|Taylan Kabbani et.al.|[2201.12283v1](http://arxiv.org/abs/2201.12283v1)|null|
|**2022-01-25**|**Multi-channel Attentive Graph Convolutional Network With Sentiment Fusion For Multimodal Sentiment Analysis**|Luwei Xiao et.al.|[2201.10274v1](http://arxiv.org/abs/2201.10274v1)|null|
|**2022-01-24**|**MMLatch: Bottom-up Top-down Fusion for Multimodal Sentiment Analysis**|Georgios Paraskevopoulos et.al.|[2201.09828v1](http://arxiv.org/abs/2201.09828v1)|null|
|**2022-01-21**|**Identifying Adversarial Attacks on Text Classifiers**|Zhouhang Xie et.al.|[2201.08555v1](http://arxiv.org/abs/2201.08555v1)|null|
|**2022-01-28**|**NaijaSenti: A Nigerian Twitter Sentiment Corpus for Multilingual Sentiment Analysis**|Shamsuddeen Hassan Muhammad et.al.|[2201.08277v2](http://arxiv.org/abs/2201.08277v2)|**[link](https://github.com/hausanlp/naijasenti)**|
|**2022-01-20**|**Sentiment Analysis: Predicting Yelp Scores**|Bhanu Prakash Reddy Guda et.al.|[2201.07999v1](http://arxiv.org/abs/2201.07999v1)|null|
|**2022-01-19**|**Small Cohort of Epilepsy Patients Showed Increased Activity on Facebook before Sudden Unexpected Death**|Ian B. Wood et.al.|[2201.07552v1](http://arxiv.org/abs/2201.07552v1)|null|
|**2022-01-14**|**What is the mission of innovation?**|Julian D. Cortes et.al.|[2201.07170v1](http://arxiv.org/abs/2201.07170v1)|null|
|**2022-01-11**|**Large Scale Analysis of Open MOOC Reviews to Support Learners' Course Selection**|Manuel J. Gomez et.al.|[2201.06967v1](http://arxiv.org/abs/2201.06967v1)|null|
|**2022-01-18**|**A Study on the Ambiguity in Human Annotation of German Oral History Interviews for Perceived Emotion Recognition and Sentiment Analysis**|Michael Gref et.al.|[2201.06868v1](http://arxiv.org/abs/2201.06868v1)|null|
|**2022-01-17**|**Joint Learning for Aspect and Polarity Classification in Persian Reviews Using Multi-Task Deep Learning**|Milad Vazan et.al.|[2201.06313v1](http://arxiv.org/abs/2201.06313v1)|**[link](https://github.com/miladvazan/Joint_Learning_Classification_Persian_Reviews-)**|
|**2022-01-16**|**PolicyCLOUD: A prototype of a Cloud Serverless Ecosystem for Policy Analytics**|Ofer Biran et.al.|[2201.06077v1](http://arxiv.org/abs/2201.06077v1)|null|
|**2022-01-16**|**Taking sides: Public Opinion over the Israel-Palestine Conflict in 2021**|Arsal Imtiaz et.al.|[2201.05961v1](http://arxiv.org/abs/2201.05961v1)|null|
|**2022-01-13**|**Knowledge Graph Augmented Network Towards Multiview Representation Learning for Aspect-based Sentiment Analysis**|Qihuang Zhong et.al.|[2201.04831v1](http://arxiv.org/abs/2201.04831v1)|null|
|**2022-01-10**|**Multimodal Representations Learning Based on Mutual Information Maximization and Minimization and Identity Embedding for Multimodal Sentiment Analysis**|Jiahao Zheng et.al.|[2201.03969v1](http://arxiv.org/abs/2201.03969v1)|null|
|**2022-01-14**|**Sentiment Analysis with Deep Learning Models: A Comparative Study on a Decade of Sinhala Language Facebook Data**|Gihan Weeraprameshwara et.al.|[2201.03941v2](http://arxiv.org/abs/2201.03941v2)|null|
|**2022-01-11**|**Turkish Sentiment Analysis Using Machine Learning Methods: Application on Online Food Order Site Reviews**|Özlem Aktaş et.al.|[2201.03848v1](http://arxiv.org/abs/2201.03848v1)|null|
|**2022-01-10**|**BERT for Sentiment Analysis: Pre-trained and Fine-Tuned Alternatives**|Frederico Souza et.al.|[2201.03382v1](http://arxiv.org/abs/2201.03382v1)|null|
|**2022-01-14**|**TiltedBERT: Resource Adjustable Version of BERT**|Sajjad Kachuee et.al.|[2201.03327v2](http://arxiv.org/abs/2201.03327v2)|null|
|**2022-01-09**|**Semantic and sentiment analysis of selected Bhagavad Gita translations using BERT-based language framework**|Rohitash Chandra et.al.|[2201.03115v1](http://arxiv.org/abs/2201.03115v1)|**[link](https://github.com/sydney-machine-learning/sentimentanalysis_bhagavadgita)**|
|**2022-01-06**|**Fortunately, Discourse Markers Can Enhance Language Models for Sentiment Analysis**|Liat Ein-Dor et.al.|[2201.02026v1](http://arxiv.org/abs/2201.02026v1)|**[link](https://github.com/ibm/tslm-discourse-markers)**|
|**2022-01-05**|**Monitoring Energy Trends through Automatic Information Extraction**|Dilek Küçük et.al.|[2201.01559v1](http://arxiv.org/abs/2201.01559v1)|null|
|**2022-01-03**|**AI & Racial Equity: Understanding Sentiment Analysis Artificial Intelligence, Data Security, and Systemic Theory in Criminal Justice Systems**|Alia Abbas et.al.|[2201.00855v1](http://arxiv.org/abs/2201.00855v1)|null|
## Question Answering
|Publish Date|Title|Authors|PDF|Code|
|---|---|---|---|---|
|**2022-04-11**|**Single-Turn Debate Does Not Help Humans Answer Hard Reading-Comprehension Questions**|Alicia Parrish et.al.|[2204.05212v1](http://arxiv.org/abs/2204.05212v1)|null|
|**2022-04-11**|**Metaethical Perspectives on 'Benchmarking' AI Ethics**|Travis LaCroix et.al.|[2204.05151v1](http://arxiv.org/abs/2204.05151v1)|null|
|**2022-04-11**|**Answering Count Queries with Explanatory Evidence**|Shrestha Ghosh et.al.|[2204.05039v1](http://arxiv.org/abs/2204.05039v1)|null|
|**2022-04-10**|**Breaking Character: Are Subwords Good Enough for MRLs After All?**|Omri Keren et.al.|[2204.04748v1](http://arxiv.org/abs/2204.04748v1)|null|
|**2022-04-10**|**Data Augmentation for Biomedical Factoid Question Answering**|Dimitris Pappas et.al.|[2204.04711v1](http://arxiv.org/abs/2204.04711v1)|null|
|**2022-04-10**|**Coreset of Hyperspectral Images on Small Quantum Computer**|Soronzonbold Otgonbaatar et.al.|[2204.04691v1](http://arxiv.org/abs/2204.04691v1)|null|
|**2022-04-10**|**Augmenting Pre-trained Language Models with QA-Memory for Open-Domain Question Answering**|Wenhu Chen et.al.|[2204.04581v1](http://arxiv.org/abs/2204.04581v1)|null|
|**2022-04-09**|**Extending the Scope of Out-of-Domain: Examining QA models in multiple subdomains**|Chenyang Lyu et.al.|[2204.04534v1](http://arxiv.org/abs/2204.04534v1)|**[link](https://github.com/lyuchenyang/analysing-question-answering-data)**|
|**2022-04-08**|**Identifying Experts in Question \& Answer Portals: A Case Study on Data Science Competencies in Reddit**|Sofia Strukova et.al.|[2204.04098v1](http://arxiv.org/abs/2204.04098v1)|null|
|**2022-04-08**|**Gone Quishing: A Field Study of Phishing with Malicious QR Codes**|Filipo Sharevski et.al.|[2204.04086v1](http://arxiv.org/abs/2204.04086v1)|null|
|**2022-04-08**|**KGI: An Integrated Framework for Knowledge Intensive Language Tasks**|Md Faisal Mahbub Chowdhury et.al.|[2204.03985v1](http://arxiv.org/abs/2204.03985v1)|null|
|**2022-04-08**|**RuBioRoBERTa: a pre-trained biomedical language model for Russian language biomedical text mining**|Alexander Yalunin et.al.|[2204.03951v1](http://arxiv.org/abs/2204.03951v1)|null|
|**2022-04-08**|**From Rewriting to Remembering: Common Ground for Conversational QA Models**|Marco Del Tredici et.al.|[2204.03930v1](http://arxiv.org/abs/2204.03930v1)|null|
|**2022-04-07**|**Parameter-Efficient Abstractive Question Answering over Tables or Text**|Vaishali Pal et.al.|[2204.03357v1](http://arxiv.org/abs/2204.03357v1)|**[link](https://github.com/kolk/pea-qa)**|
|**2022-04-06**|**Using Interactive Feedback to Improve the Accuracy and Explainability of Question Answering Systems Post-Deployment**|Zichao Li et.al.|[2204.03025v1](http://arxiv.org/abs/2204.03025v1)|null|
|**2022-04-06**|**Knowledge Base Index Compression via Dimensionality and Precision Reduction**|Vilém Zouhar et.al.|[2204.02906v1](http://arxiv.org/abs/2204.02906v1)|null|
|**2022-04-06**|**Improving Multi-task Generalization Ability for Neural Text Matching via Prompt Learning**|Shicheng Xu et.al.|[2204.02725v1](http://arxiv.org/abs/2204.02725v1)|null|
|**2022-04-06**|**Improving Zero-Shot Event Extraction via Sentence Simplification**|Sneha Mehta et.al.|[2204.02531v1](http://arxiv.org/abs/2204.02531v1)|null|
|**2022-04-05**|**CLEVR-X: A Visual Reasoning Dataset for Natural Language Explanations**|Leonard Salewski et.al.|[2204.02380v1](http://arxiv.org/abs/2204.02380v1)|**[link](https://github.com/explainableml/clevr-x)**|
|**2022-04-05**|**SwapMix: Diagnosing and Regularizing the Over-Reliance on Visual Context in Visual Question Answering**|Vipul Gupta et.al.|[2204.02285v1](http://arxiv.org/abs/2204.02285v1)|**[link](https://github.com/vipulgupta1011/swapmix)**|
|**2022-04-05**|**Improved and Efficient Conversational Slot Labeling through Question Answering**|Gabor Fuisz et.al.|[2204.02123v1](http://arxiv.org/abs/2204.02123v1)|null|
|**2022-04-03**|**Learning Disentangled Semantic Representations for Zero-Shot Cross-Lingual Transfer in Multilingual Machine Reading Comprehension**|injuan Wu et.al.|[2204.00996v1](http://arxiv.org/abs/2204.00996v1)|**[link](https://github.com/wulinjuan/ssdm_mrc)**|
|**2022-04-03**|**Question-Driven Graph Fusion Network For Visual Question Answering**|Yuxi Qian et.al.|[2204.00975v1](http://arxiv.org/abs/2204.00975v1)|null|
|**2022-04-02**|**Co-VQA : Answering by Interactive Sub Question Sequence**|Ruonan Wang et.al.|[2204.00879v1](http://arxiv.org/abs/2204.00879v1)|null|
|**2022-04-01**|**Multifaceted Improvements for Conversational Open-Domain Question Answering**|Tingting Liang et.al.|[2204.00266v1](http://arxiv.org/abs/2204.00266v1)|null|
|**2022-03-30**|**VL-InterpreT: An Interactive Visualization Tool for Interpreting Vision-Language Transformers**|Estelle Aflalo et.al.|[2203.17247v1](http://arxiv.org/abs/2203.17247v1)|null|
|**2022-03-31**|**SimVQA: Exploring Simulated Environments for Visual Question Answering**|Paola Cascante-Bonilla et.al.|[2203.17219v1](http://arxiv.org/abs/2203.17219v1)|null|
|**2022-03-30**|**End-to-End Table Question Answering via Retrieval-Augmented Generation**|Feifei Pan et.al.|[2203.16714v1](http://arxiv.org/abs/2203.16714v1)|null|
|**2022-03-30**|**Towards Differential Relational Privacy and its use in Question Answering**|Simone Bombari et.al.|[2203.16701v1](http://arxiv.org/abs/2203.16701v1)|null|
|**2022-03-30**|**Auto-MLM: Improved Contrastive Learning for Self-supervised Multi-lingual Knowledge Retrieval**|Wenshen Xu et.al.|[2203.16187v1](http://arxiv.org/abs/2203.16187v1)|null|
|**2022-03-29**|**LinkBERT: Pretraining Language Models with Document Links**|Michihiro Yasunaga et.al.|[2203.15827v1](http://arxiv.org/abs/2203.15827v1)|**[link](https://github.com/michiyasunaga/LinkBERT)**|
|**2022-04-04**|**ANNA: Enhanced Language Representation for Question Answering**|Changwook Jun et.al.|[2203.14507v2](http://arxiv.org/abs/2203.14507v2)|null|
|**2022-03-28**|**STaR: Bootstrapping Reasoning With Reasoning**|Eric Zelikman et.al.|[2203.14465v1](http://arxiv.org/abs/2203.14465v1)|null|
|**2022-03-27**|**MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering**|Ankit Pal et.al.|[2203.14371v1](http://arxiv.org/abs/2203.14371v1)|**[link](https://github.com/MedMCQA/MedMCQA)**|
|**2022-03-27**|**Educational Question Generation of Children Storybooks via Question Type Distribution Learning and Event-Centric Summarization**|Zhenjie Zhao et.al.|[2203.14187v1](http://arxiv.org/abs/2203.14187v1)|null|
|**2022-03-29**|**MQDD: Pre-training of Multimodal Question Duplicity Detection for Software Engineering Domain**|Jan Pašek et.al.|[2203.14093v2](http://arxiv.org/abs/2203.14093v2)|**[link](https://github.com/kiv-air/mqdd)**|
|**2022-03-26**|**Learning to Answer Questions in Dynamic Audio-Visual Scenarios**|Guangyao Li et.al.|[2203.14072v1](http://arxiv.org/abs/2203.14072v1)|null|
|**2022-03-26**|**Fantastic Questions and Where to Find Them: FairytaleQA -- An Authentic Dataset for Narrative Comprehension**|Ying Xu et.al.|[2203.13947v1](http://arxiv.org/abs/2203.13947v1)|null|
|**2022-03-28**|**UKP-SQUARE: An Online Platform for Question Answering Research**|Tim Baumgärtner et.al.|[2203.13693v2](http://arxiv.org/abs/2203.13693v2)|**[link](https://github.com/ukp-square/square-core)**|
|**2022-03-25**|**Improving Question Answering over Knowledge Graphs Using Graph Summarization**|Sirui Li et.al.|[2203.13570v1](http://arxiv.org/abs/2203.13570v1)|null|
|**2022-03-24**|**Gender and Racial Stereotype Detection in Legal Opinion Word Embeddings**|Sean Matthews et.al.|[2203.13369v1](http://arxiv.org/abs/2203.13369v1)|null|
|**2022-03-24**|**Towards Escaping from Language Bias and OCR Error: Semantics-Centered Text Visual Question Answering**|Chengyang Fang et.al.|[2203.12929v1](http://arxiv.org/abs/2203.12929v1)|null|
|**2022-03-24**|**Towards Efficient and Elastic Visual Question Answering with Doubly Slimmable Transformer**|Zhou Yu et.al.|[2203.12814v1](http://arxiv.org/abs/2203.12814v1)|null|
|**2022-03-23**|**Q-FW: A Hybrid Classical-Quantum Frank-Wolfe for Quadratic Binary Optimization**|Alp Yurtsever et.al.|[2203.12633v1](http://arxiv.org/abs/2203.12633v1)|null|
|**2022-03-23**|**ERNIE-SPARSE: Learning Hierarchical Efficient Transformer Through Regularized Self-Attention**|Yang Liu et.al.|[2203.12276v1](http://arxiv.org/abs/2203.12276v1)|null|
|**2022-03-23**|**A Theoretically Grounded Benchmark for Evaluating Machine Commonsense**|Henrique Santos et.al.|[2203.12184v1](http://arxiv.org/abs/2203.12184v1)|null|
|**2022-03-22**|**WuDaoMM: A large-scale Multi-Modal Dataset for Pre-training models**|Sha Yuan et.al.|[2203.11480v1](http://arxiv.org/abs/2203.11480v1)|null|
|**2022-03-22**|**VLSP 2021 Shared Task: Vietnamese Machine Reading Comprehension**|Kiet Van Nguyen et.al.|[2203.11400v1](http://arxiv.org/abs/2203.11400v1)|null|
|**2022-03-21**|**DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization**|Zheng Li et.al.|[2203.11239v1](http://arxiv.org/abs/2203.11239v1)|null|
|**2022-03-21**|**Teaching language models to support answers with verified quotes**|Jacob Menick et.al.|[2203.11147v1](http://arxiv.org/abs/2203.11147v1)|null|
|**2022-03-21**|**PACS: A Dataset for Physical Audiovisual CommonSense Reasoning**|Samuel Yu et.al.|[2203.11130v1](http://arxiv.org/abs/2203.11130v1)|**[link](https://github.com/samuelyu2002/pacs)**|
|**2022-03-21**|**Targeted Extraction of Temporal Facts from Textual Resources for Improved Temporal Question Answering over Knowledge Bases**|Nithish Kannen et.al.|[2203.11054v1](http://arxiv.org/abs/2203.11054v1)|null|
|**2022-03-21**|**How Do We Answer Complex Questions: Discourse Structure of Long-form Answers**|Fangyuan Xu et.al.|[2203.11048v1](http://arxiv.org/abs/2203.11048v1)|**[link](https://github.com/utcsnlp/lfqa_discourse)**|
|**2022-03-24**|**PTM4Tag: Sharpening Tag Recommendation of Stack Overflow Posts with Pre-trained Models**|Junda He et.al.|[2203.10965v2](http://arxiv.org/abs/2203.10965v2)|null|
|**2022-03-21**|**Paraphrasing Techniques for Maritime QA system**|Fatemeh Shiri et.al.|[2203.10854v1](http://arxiv.org/abs/2203.10854v1)|null|
|**2022-03-21**|**Programming Language Agnostic Mining of Code and Language Pairs with Sequence Labeling Based Question Answering**|Changran Hu et.al.|[2203.10744v1](http://arxiv.org/abs/2203.10744v1)|null|
|**2022-03-20**|**Calibration of Machine Reading Systems at Scale**|Shehzaad Dhuliawala et.al.|[2203.10623v1](http://arxiv.org/abs/2203.10623v1)|null|
|**2022-03-20**|**A Neural-Symbolic Approach to Natural Language Understanding**|Zhixuan Liu et.al.|[2203.10557v1](http://arxiv.org/abs/2203.10557v1)|null|
|**2022-03-20**|**Human Values Violations in Stack Overflow: An Exploratory Study**|Sara Krishtul et.al.|[2203.10551v1](http://arxiv.org/abs/2203.10551v1)|null|
|**2022-03-18**|**Simulating Bandit Learning from User Feedback for Extractive Question Answering**|Ge Gao et.al.|[2203.10079v1](http://arxiv.org/abs/2203.10079v1)|**[link](https://github.com/lil-lab/bandit-qa)**|
|**2022-03-18**|**Are You Robert or RoBERTa? Deceiving Online Authorship Attribution Models Using Neural Text Generators**|Keenan Jones et.al.|[2203.09813v1](http://arxiv.org/abs/2203.09813v1)|null|
|**2022-03-17**|**DP-KB: Data Programming with Knowledge Bases Improves Transformer Fine Tuning for Answer Sentence Selection**|Nic Jedema et.al.|[2203.09598v1](http://arxiv.org/abs/2203.09598v1)|null|
|**2022-03-17**|**elBERto: Self-supervised Commonsense Learning for Question Answering**|Xunlin Zhan et.al.|[2203.09424v1](http://arxiv.org/abs/2203.09424v1)|null|
|**2022-03-17**|**Knowledge Graph Embedding Methods for Entity Alignment: An Experimental Review**|Nikolaos Fanourakis et.al.|[2203.09280v1](http://arxiv.org/abs/2203.09280v1)|**[link](https://github.com/fanourakis/experimental-review-ea)**|
|**2022-03-17**|**MuKEA: Multimodal Knowledge Extraction and Accumulation for Knowledge-based Visual Question Answering**|Yang Ding et.al.|[2203.09138v1](http://arxiv.org/abs/2203.09138v1)|**[link](https://github.com/andersonstra/mukea)**|
|**2022-03-17**|**Ask to Understand: Question Generation for Multi-hop Question Answering**|Jiawei Li et.al.|[2203.09073v1](http://arxiv.org/abs/2203.09073v1)|null|
|**2022-03-16**|**C-MORE: Pretraining to Answer Open-Domain Questions by Consulting Millions of References**|Xiang Yue et.al.|[2203.08928v1](http://arxiv.org/abs/2203.08928v1)|**[link](https://github.com/xiangyue9607/c-more)**|
|**2022-03-16**|**Synthetic Question Value Estimation for Domain Adaptation of Question Answering**|Xiang Yue et.al.|[2203.08926v1](http://arxiv.org/abs/2203.08926v1)|**[link](https://github.com/xiangyue9607/qve)**|
|**2022-03-16**|**Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Data**|Shuohang Wang et.al.|[2203.08773v1](http://arxiv.org/abs/2203.08773v1)|**[link](https://github.com/microsoft/reina)**|
|**2022-03-16**|**E-KAR: A Benchmark for Rationalizing Natural Language Analogical Reasoning**|Jiangjie Chen et.al.|[2203.08480v1](http://arxiv.org/abs/2203.08480v1)|null|
|**2022-03-15**|**Hyperdecoders: Instance-specific decoders for multi-task NLP**|Hamish Ivison et.al.|[2203.08304v1](http://arxiv.org/abs/2203.08304v1)|null|
|**2022-03-15**|**Revitalize Region Feature for Democratizing Video-Language Pre-training**|Guanyu Cai et.al.|[2203.07720v1](http://arxiv.org/abs/2203.07720v1)|**[link](https://github.com/cuthbertcai/demovlp)**|
|**2022-03-15**|**Can you even tell left from right? Presenting a new challenge for VQA**|Sai Raam Venkatraman et.al.|[2203.07664v1](http://arxiv.org/abs/2203.07664v1)|null|
|**2022-03-15**|**Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness**|Tejas Gokhale et.al.|[2203.07653v1](http://arxiv.org/abs/2203.07653v1)|null|
|**2022-03-14**|**ScienceWorld: Is your Agent Smarter than a 5th Grader?**|Ruoyao Wang et.al.|[2203.07540v1](http://arxiv.org/abs/2203.07540v1)|**[link](https://github.com/allenai/scienceworld)**|
|**2022-03-14**|**Choose Your QA Model Wisely: A Systematic Study of Generative and Extractive Readers for Question Answering**|Man Luo et.al.|[2203.07522v1](http://arxiv.org/abs/2203.07522v1)|null|
|**2022-03-14**|**All in One: Exploring Unified Video-Language Pre-training**|Alex Jinpeng Wang et.al.|[2203.07303v1](http://arxiv.org/abs/2203.07303v1)|**[link](https://github.com/showlab/all-in-one)**|
|**2022-03-14**|**CLIP Models are Few-shot Learners: Empirical Studies on VQA and Visual Entailment**|Haoyu Song et.al.|[2203.07190v1](http://arxiv.org/abs/2203.07190v1)|null|
|**2022-03-14**|**Hyperlink-induced Pre-training for Passage Retrieval in Open-domain Question Answering**|Jiawei Zhou et.al.|[2203.06942v1](http://arxiv.org/abs/2203.06942v1)|null|
|**2022-03-14**|**Uncertainty-Aware Text-to-Program for Question Answering on Structured Electronic Health Records**|Daeyoung Kim et.al.|[2203.06918v1](http://arxiv.org/abs/2203.06918v1)|null|
|**2022-03-14**|**Towards Semantic Search for Community Question Answering for Mortgage Officers**|Amir Reza Rahmani et.al.|[2203.06807v1](http://arxiv.org/abs/2203.06807v1)|null|
|**2022-03-15**|**Towards Visual-Prompt Temporal Answering Grounding in Medical Instructional Video**|Bin Li et.al.|[2203.06667v2](http://arxiv.org/abs/2203.06667v2)|null|
|**2022-03-12**|**Enabling Multimodal Generation on CLIP via Vision-Language Knowledge Distillation**|Wenliang Dai et.al.|[2203.06386v1](http://arxiv.org/abs/2203.06386v1)|null|
|**2022-03-11**|**Cross-lingual Inference with A Chinese Entailment Graph**|Tianyi Li et.al.|[2203.06264v1](http://arxiv.org/abs/2203.06264v1)|**[link](https://github.com/teddy-li/chineseentgraph)**|
|**2022-03-11**|**Tevatron: An Efficient and Flexible Toolkit for Dense Retrieval**|Luyu Gao et.al.|[2203.05765v1](http://arxiv.org/abs/2203.05765v1)|**[link](https://github.com/texttron/tevatron)**|
|**2022-03-11**|**QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization**|Xiuying Wei et.al.|[2203.05740v1](http://arxiv.org/abs/2203.05740v1)|**[link](https://github.com/wimh966/QDrop)**|
|**2022-03-10**|**Internet-augmented language models through few-shot prompting for open-domain question answering**|Angeliki Lazaridou et.al.|[2203.05115v1](http://arxiv.org/abs/2203.05115v1)|null|
|**2022-03-09**|**Comparing Classical-Quantum Portfolio Optimization with Enhanced Constraints**|Salvatore Certo et.al.|[2203.04912v1](http://arxiv.org/abs/2203.04912v1)|null|
|**2022-03-09**|**DUAL: Textless Spoken Question Answering with Speech Discrete Unit Adaptive Learning**|Guan-Ting Lin et.al.|[2203.04911v1](http://arxiv.org/abs/2203.04911v1)|**[link](https://github.com/daniellin94144/dual-textless-sqa)**|
|**2022-03-09**|**Language Model-driven Negative Sampling**|Mirza Mohtashim Alam et.al.|[2203.04703v1](http://arxiv.org/abs/2203.04703v1)|null|
|**2022-03-09**|**Boilerplate Detection via Semantic Classification of TextBlocks**|Hao Zhang et.al.|[2203.04467v1](http://arxiv.org/abs/2203.04467v1)|null|
|**2022-03-08**|**AssistQ: Affordance-centric Question-driven Task Completion for Egocentric Assistant**|Benita Wong et.al.|[2203.04203v1](http://arxiv.org/abs/2203.04203v1)|null|
|**2022-03-07**|**Barlow constrained optimization for Visual Question Answering**|Abhishek Jha et.al.|[2203.03727v1](http://arxiv.org/abs/2203.03727v1)|null|
|**2022-03-06**|**Modeling Coreference Relations in Visual Dialog**|Mingxiao Li et.al.|[2203.02986v1](http://arxiv.org/abs/2203.02986v1)|null|
|**2022-03-06**|**Dynamic Key-value Memory Enhanced Multi-step Graph Reasoning for Knowledge-based Visual Question Answering**|Mingxiao Li et.al.|[2203.02985v1](http://arxiv.org/abs/2203.02985v1)|null|
|**2022-03-06**|**Divide and Conquer: Text Semantic Matching with Disentangled Keywords and Intents**|Yicheng Zou et.al.|[2203.02898v1](http://arxiv.org/abs/2203.02898v1)|**[link](https://github.com/rowitzou/dc-match)**|
|**2022-03-04**|**QaNER: Prompting Question Answering Models for Few-shot Named Entity Recognition**|Andy T. Liu et.al.|[2203.01543v2](http://arxiv.org/abs/2203.01543v2)|null|
|**2022-03-02**|**Recent, rapid advancement in visual question answering architecture**|Venkat Kodali et.al.|[2203.01322v1](http://arxiv.org/abs/2203.01322v1)|null|
|**2022-03-02**|**Video Question Answering: Datasets, Algorithms and Challenges**|Yaoyao Zhong et.al.|[2203.01225v1](http://arxiv.org/abs/2203.01225v1)|null|
|**2022-03-01**|**Read before Generate! Faithful Long Form Question Answering with Machine Reading**|Dan Su et.al.|[2203.00343v1](http://arxiv.org/abs/2203.00343v1)|null|
|**2022-03-01**|**Improving Time Sensitivity for Question Answering over Temporal Knowledge Graphs**|Chao Shang et.al.|[2203.00255v1](http://arxiv.org/abs/2203.00255v1)|null|
|**2022-03-01**|**Semantic Sentence Composition Reasoning for Multi-Hop Question Answering**|Qianglong Chen et.al.|[2203.00160v1](http://arxiv.org/abs/2203.00160v1)|null|
|**2022-02-28**|**Improving Lexical Embeddings for Robust Question Answering**|Weiwen Xu et.al.|[2202.13636v1](http://arxiv.org/abs/2202.13636v1)|null|
|**2022-02-28**|**'Tis but Thy Name: Semantic Question Answering Evaluation with 11M Names for 1M Entities**|Albert Huang et.al.|[2202.13581v1](http://arxiv.org/abs/2202.13581v1)|null|
|**2022-02-27**|**Subgraph Retrieval Enhanced Model for Multi-hop Knowledge Base Question Answering**|Jing Zhang et.al.|[2202.13296v1](http://arxiv.org/abs/2202.13296v1)|**[link](https://github.com/ruckbreasoning/subgraphretrievalkbqa)**|
|**2022-02-26**|**A Generative Model for Relation Extraction and Classification**|Jian Ni et.al.|[2202.13229v1](http://arxiv.org/abs/2202.13229v1)|null|
|**2022-02-26**|**Multi-image Super-resolution via Quality Map Associated Temporal Attention Network**|Minji Lee et.al.|[2202.13124v1](http://arxiv.org/abs/2202.13124v1)|null|
|**2022-02-25**|**On Modality Bias Recognition and Reduction**|Yangyang Guo et.al.|[2202.12690v1](http://arxiv.org/abs/2202.12690v1)|null|
|**2022-02-25**|**Joint Answering and Explanation for Visual Commonsense Reasoning**|Zhenyang Li et.al.|[2202.12626v1](http://arxiv.org/abs/2202.12626v1)|**[link](https://github.com/sdlzy/arc)**|
|**2022-02-23**|**UnifiedQA-v2: Stronger Generalization via Broader Cross-Format Training**|Daniel Khashabi et.al.|[2202.12359v1](http://arxiv.org/abs/2202.12359v1)|**[link](https://github.com/allenai/unifiedqa)**|
|**2022-02-24**|**BERTVision -- A Parameter-Efficient Approach for Question Answering**|Siduo Jiang et.al.|[2202.12210v1](http://arxiv.org/abs/2202.12210v1)|**[link](https://github.com/cbenge509/bertvision)**|
|**2022-02-28**|**Measuring CLEVRness: Blackbox testing of Visual Reasoning Models**|Spyridon Mouselinos et.al.|[2202.12162v2](http://arxiv.org/abs/2202.12162v2)|null|
|**2022-02-24**|**First implementation of full-workflow automation in radiotherapy: the All-in-One solution on rectal cancer**|Lei Yu et.al.|[2202.12009v1](http://arxiv.org/abs/2202.12009v1)|null|
|**2022-02-22**|**Knowledge Base Question Answering by Case-based Reasoning over Subgraphs**|Rajarshi Das et.al.|[2202.10610v1](http://arxiv.org/abs/2202.10610v1)|null|
|**2022-02-21**|**Vision-Language Pre-Training with Triple Contrastive Learning**|Jinyu Yang et.al.|[2202.10401v1](http://arxiv.org/abs/2202.10401v1)|**[link](https://github.com/uta-smile/TCL)**|
|**2022-02-21**|**OG-SGG: Ontology-Guided Scene Graph Generation. A Case Study in Transfer Learning for Telepresence Robotics**|Fernando Amodeo et.al.|[2202.10201v1](http://arxiv.org/abs/2202.10201v1)|**[link](https://github.com/robotics-upo/og-sgg)**|
|**2022-02-18**|**(2.5+1)D Spatio-Temporal Scene Graphs for Video Question Answering**|Anoop Cherian et.al.|[2202.09277v1](http://arxiv.org/abs/2202.09277v1)|null|
|**2022-02-17**|**Discovering Fine-Grained Semantics in Knowledge Graph Relations**|Nitisha Jain et.al.|[2202.08917v1](http://arxiv.org/abs/2202.08917v1)|null|
|**2022-02-17**|**Designing Effective Sparse Expert Models**|Barret Zoph et.al.|[2202.08906v1](http://arxiv.org/abs/2202.08906v1)|**[link](https://github.com/tensorflow/mesh)**|
|**2022-02-16**|**ZeroGen: Efficient Zero-shot Learning via Dataset Generation**|Jiacheng Ye et.al.|[2202.07922v1](http://arxiv.org/abs/2202.07922v1)|**[link](https://github.com/jiacheng-ye/zerogen)**|
|**2022-02-15**|**Privacy Preserving Visual Question Answering**|Cristian-Paul Bara et.al.|[2202.07712v1](http://arxiv.org/abs/2202.07712v1)|null|
|**2022-02-15**|**Tomayto, Tomahto. Beyond Token-level Answer Equivalence for Question Answering Evaluation**|Jannis Bulian et.al.|[2202.07654v1](http://arxiv.org/abs/2202.07654v1)|**[link](https://github.com/google-research-datasets/answer-equivalence-dataset)**|
|**2022-02-15**|**Delving Deeper into Cross-lingual Visual Question Answering**|Chen Liu et.al.|[2202.07630v1](http://arxiv.org/abs/2202.07630v1)|null|
|**2022-02-15**|**Saving Dense Retriever from Shortcut Dependency in Conversational Search**|Sungdong Kim et.al.|[2202.07280v1](http://arxiv.org/abs/2202.07280v1)|null|
|**2022-02-15**|**Case law retrieval: problems, methods, challenges and evaluations in the last 20 years**|Daniel Locke et.al.|[2202.07209v1](http://arxiv.org/abs/2202.07209v1)|null|
|**2022-02-15**|**Effective spin models of Kerr-nonlinear parametric oscillators for quantum annealing**|Ryoji Miyazaki et.al.|[2202.07160v1](http://arxiv.org/abs/2202.07160v1)|null|
|**2022-02-14**|**An experimental study of the vision-bottleneck in VQA**|Pierre Marza et.al.|[2202.06858v1](http://arxiv.org/abs/2202.06858v1)|null|
|**2022-02-15**|**Partially Fake Audio Detection by Self-attention-based Fake Span Discovery**|Haibin Wu et.al.|[2202.06684v2](http://arxiv.org/abs/2202.06684v2)|null|
|**2022-02-14**|**QA4QG: Using Question Answering to Constrain Multi-Hop Question Generation**|Dan Su et.al.|[2202.06538v1](http://arxiv.org/abs/2202.06538v1)|null|
|**2022-02-13**|**On the Relationship between Shy and Warded Datalog+/-**|Teodoro Baldazzi et.al.|[2202.06285v1](http://arxiv.org/abs/2202.06285v1)|null|
|**2022-02-13**|**PQuAD: A Persian Question Answering Dataset**|Kasra Darvishi et.al.|[2202.06219v1](http://arxiv.org/abs/2202.06219v1)|**[link](https://github.com/sajjjadayobi/PersianQA)**|
|**2022-02-12**|**Recognition-free Question Answering on Handwritten Document Collections**|Oliver Tüselmann et.al.|[2202.06080v1](http://arxiv.org/abs/2202.06080v1)|null|
|**2022-02-09**|**FedQAS: Privacy-aware machine reading comprehension with federated learning**|Addi Ait-Mlouk et.al.|[2202.04742v1](http://arxiv.org/abs/2202.04742v1)|**[link](https://github.com/aitmlouk/fedn-client-fedqas-tf)**|
|**2022-02-09**|**Can Open Domain Question Answering Systems Answer Visual Knowledge Questions?**|Jiawen Zhang et.al.|[2202.04306v1](http://arxiv.org/abs/2202.04306v1)|null|
|**2022-02-08**|**Integrating question answering and text-to-SQL in Portuguese**|Marcos Menon José et.al.|[2202.04048v1](http://arxiv.org/abs/2202.04048v1)|null|
|**2022-02-08**|**NEWSKVQA: Knowledge-Aware News Video Question Answering**|Pranay Gupta et.al.|[2202.04015v1](http://arxiv.org/abs/2202.04015v1)|null|
|**2022-02-08**|**Survey of Hallucination in Natural Language Generation**|Ziwei Ji et.al.|[2202.03629v1](http://arxiv.org/abs/2202.03629v1)|null|
|**2022-02-07**|**Towards Loosely-Coupling Knowledge Graph Embeddings and Ontology-based Reasoning**|Zoi Kaoudi et.al.|[2202.03173v1](http://arxiv.org/abs/2202.03173v1)|null|
|**2022-02-04**|**Pirá: A Bilingual Portuguese-English Dataset for Question-Answering about the Ocean**|André F. A. Paschoal et.al.|[2202.02398v1](http://arxiv.org/abs/2202.02398v1)|**[link](https://github.com/C4AI/Pira)**|
|**2022-02-04**|**Webly Supervised Concept Expansion for General Purpose Vision Models**|Amita Kamath et.al.|[2202.02317v1](http://arxiv.org/abs/2202.02317v1)|null|
|**2022-02-04**|**Interactive Mobile App Navigation with Uncertain or Under-specified Natural Language Commands**|Andrea Burns et.al.|[2202.02312v1](http://arxiv.org/abs/2202.02312v1)|null|
|**2022-02-04**|**Quality Assessment of Low Light Restored Images: A Subjective Study and an Unsupervised Model**|Vignesh Kannan et.al.|[2202.02277v1](http://arxiv.org/abs/2202.02277v1)|null|
|**2022-02-04**|**Grounding Answers for Visual Questions Asked by Visually Impaired People**|Chongyan Chen et.al.|[2202.01993v1](http://arxiv.org/abs/2202.01993v1)|null|
|**2022-02-03**|**JaQuAD: Japanese Question Answering Dataset for Machine Reading Comprehension**|ByungHoon So et.al.|[2202.01764v1](http://arxiv.org/abs/2202.01764v1)|**[link](https://github.com/SkelterLabsInc/JaQuAD)**|
|**2022-02-03**|**On constant-time quantum annealing and guaranteed approximations for graph optimization problems**|Arthur Braida et.al.|[2202.01636v1](http://arxiv.org/abs/2202.01636v1)|null|
|**2022-01-27**|**TableQuery: Querying tabular data with natural language**|Abhijith Neil Abraham et.al.|[2202.00454v1](http://arxiv.org/abs/2202.00454v1)|**[link](https://github.com/abhijithneilabraham/tableqa)**|
|**2022-02-08**|**Active Learning Over Multiple Domains in Natural Language Tasks**|Shayne Longpre et.al.|[2202.00254v2](http://arxiv.org/abs/2202.00254v2)|null|
|**2022-02-01**|**Semantic Annotation and Querying Framework based on Semi-structured Ayurvedic Text**|Hrishikesh Terdalkar et.al.|[2202.00216v1](http://arxiv.org/abs/2202.00216v1)|null|
|**2022-02-07**|**QALD-9-plus: A Multilingual Dataset for Question Answering over DBpedia and Wikidata Translated by Native Speakers**|Aleksandr Perevalov et.al.|[2202.00120v2](http://arxiv.org/abs/2202.00120v2)|**[link](https://github.com/perevalov/qald_9_plus)**|
|**2022-01-31**|**Learning Representations of Entities and Relations**|Ivana Balažević et.al.|[2201.13073v1](http://arxiv.org/abs/2201.13073v1)|null|
|**2022-01-30**|**Compositionality as Lexical Symmetry**|Ekin Akyürek et.al.|[2201.12926v1](http://arxiv.org/abs/2201.12926v1)|null|
|**2022-01-30**|**A Dataset for Medical Instructional Video Classification and Question Answering**|Deepak Gupta et.al.|[2201.12888v1](http://arxiv.org/abs/2201.12888v1)|**[link](https://github.com/deepaknlp/medvidqacl)**|
|**2022-01-27**|**Clinical-Longformer and Clinical-BigBird: Transformers for long clinical sequences**|Yikuan Li et.al.|[2201.11838v1](http://arxiv.org/abs/2201.11838v1)|null|
|**2022-01-27**|**IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages**|Emanuele Bugliarello et.al.|[2201.11732v1](http://arxiv.org/abs/2201.11732v1)|**[link](https://github.com/e-bug/iglue)**|
|**2022-01-27**|**Transformer Module Networks for Systematic Generalization in Visual Question Answering**|Moyuru Yamada et.al.|[2201.11316v1](http://arxiv.org/abs/2201.11316v1)|null|
|**2022-01-26**|**Addressing Issues of Cross-Linguality in Open-Retrieval Question Answering Systems For Emergent Domains**|Alon Albalak et.al.|[2201.11153v1](http://arxiv.org/abs/2201.11153v1)|**[link](https://github.com/alon-albalak/xor-covid)**|
|**2022-01-26**|**SCAI-QReCC Shared Task on Conversational Question Answering**|Svitlana Vakulenko et.al.|[2201.11094v1](http://arxiv.org/abs/2201.11094v1)|**[link](https://github.com/scai-conf/scai-qrecc-21)**|
|**2022-01-26**|**Learning to Compose Diversified Prompts for Image Emotion Classification**|Sinuo Deng et.al.|[2201.10963v1](http://arxiv.org/abs/2201.10963v1)|null|
|**2022-01-26**|**An Automated Question-Answering Framework Based on Evolution Algorithm**|Sinan Tan et.al.|[2201.10797v1](http://arxiv.org/abs/2201.10797v1)|null|
|**2022-01-25**|**MGA-VQA: Multi-Granularity Alignment for Visual Question Answering**|Peixi Xiong et.al.|[2201.10656v1](http://arxiv.org/abs/2201.10656v1)|null|
|**2022-01-25**|**SA-VQA: Structured Alignment of Visual and Semantic Representations for Visual Question Answering**|Peixi Xiong et.al.|[2201.10654v1](http://arxiv.org/abs/2201.10654v1)|null|
|**2022-01-25**|**DOM-LM: Learning Generalizable Representations for HTML Documents**|Xiang Deng et.al.|[2201.10608v1](http://arxiv.org/abs/2201.10608v1)|null|
|**2022-01-27**|**Table Pre-training: A Survey on Model Architectures, Pretraining Objectives, and Downstream Tasks**|Haoyu Dong et.al.|[2201.09745v2](http://arxiv.org/abs/2201.09745v2)|null|
|**2022-01-24**|**Towards Collaborative Question Answering: A Preliminary Study**|Xiangkun Hu et.al.|[2201.09708v1](http://arxiv.org/abs/2201.09708v1)|null|
|**2022-01-24**|**Unified Question Generation with Continual Lifelong Learning**|Wei Yuan et.al.|[2201.09696v1](http://arxiv.org/abs/2201.09696v1)|null|
|**2022-01-24**|**Artefact Retrieval: Overview of NLP Models with Knowledge Base Access**|Vilém Zouhar et.al.|[2201.09651v1](http://arxiv.org/abs/2201.09651v1)|null|
|**2022-01-24**|**Question Generation for Evaluating Cross-Dataset Shifts in Multi-modal Grounding**|Arjun R. Akula et.al.|[2201.09639v1](http://arxiv.org/abs/2201.09639v1)|null|
|**2022-01-22**|**Question rewriting? Assessing its importance for conversational question answering**|Gonçalo Raposo et.al.|[2201.09146v1](http://arxiv.org/abs/2201.09146v1)|null|
|**2022-01-22**|**Leaf: Multiple-Choice Question Generation**|Kristiyan Vachev et.al.|[2201.09012v1](http://arxiv.org/abs/2201.09012v1)|**[link](https://github.com/kristiyanvachev/leaf-question-generation)**|
|**2022-01-21**|**GreaseLM: Graph REASoning Enhanced Language Models for Question Answering**|Xikun Zhang et.al.|[2201.08860v1](http://arxiv.org/abs/2201.08860v1)|**[link](https://github.com/snap-stanford/greaselm)**|
|**2022-01-21**|**Conversational Information Seeking**|Hamed Zamani et.al.|[2201.08808v1](http://arxiv.org/abs/2201.08808v1)|null|
|**2022-01-20**|**Knowledge Graph Question Answering Leaderboard: A Community Resource to Prevent a Replication Crisis**|Aleksandr Perevalov et.al.|[2201.08174v1](http://arxiv.org/abs/2201.08174v1)|**[link](https://github.com/kgqa/leaderboard)**|
|**2022-01-19**|**Evaluating Machine Common Sense via Cloze Testing**|Ehsan Qasemi et.al.|[2201.07902v1](http://arxiv.org/abs/2201.07902v1)|null|
|**2022-01-19**|**Improving Biomedical Information Retrieval with Neural Retrievers**|Man Luo et.al.|[2201.07745v1](http://arxiv.org/abs/2201.07745v1)|null|
|**2022-01-19**|**Evaluating and predicting the Efficiency Index for Stereotactic Radiosurgery Plans using RapidMiner GO(JAVA) Based Artificial Intelligence Algorithms**|Hossam Donya et.al.|[2201.07718v1](http://arxiv.org/abs/2201.07718v1)|null|
|**2022-01-19**|**Expert Finding in Legal Community Question Answering**|Arian Askari et.al.|[2201.07667v1](http://arxiv.org/abs/2201.07667v1)|**[link](https://github.com/arian-askari/ef_in_legal_cqa)**|
|**2022-01-17**|**RuMedBench: A Russian Medical Language Understanding Benchmark**|Pavel Blinov et.al.|[2201.06499v1](http://arxiv.org/abs/2201.06499v1)|null|
|**2022-01-17**|**Generalizable Neuro-symbolic Systems for Commonsense Question Answering**|Alessandro Oltramari et.al.|[2201.06230v1](http://arxiv.org/abs/2201.06230v1)|null|
|**2022-01-17**|**Korean-Specific Dataset for Table Question Answering**|Changwook Jun et.al.|[2201.06223v1](http://arxiv.org/abs/2201.06223v1)|null|
|**2022-01-16**|**Natural Language Deduction through Search over Statement Compositions**|Kaj Bostrom et.al.|[2201.06028v1](http://arxiv.org/abs/2201.06028v1)|null|
|**2022-01-16**|**In Situ Answer Sentence Selection at Web-scale**|Zeyu Zhang et.al.|[2201.05984v1](http://arxiv.org/abs/2201.05984v1)|null|
|**2022-01-16**|**Double Retrieval and Ranking for Accurate Question Answering**|Zeyu Zhang et.al.|[2201.05981v1](http://arxiv.org/abs/2201.05981v1)|null|
|**2022-01-20**|**UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models**|Tianbao Xie et.al.|[2201.05966v2](http://arxiv.org/abs/2201.05966v2)|**[link](https://github.com/hkunlp/unifiedskg)**|
|**2022-01-15**|**Reasoning over Hybrid Chain for Table-and-Text Open Domain QA**|Wanjun Zhong et.al.|[2201.05880v1](http://arxiv.org/abs/2201.05880v1)|null|
|**2022-01-15**|**A Benchmark for Generalizable and Interpretable Temporal Question Answering over Knowledge Bases**|Sumit Neelam et.al.|[2201.05793v1](http://arxiv.org/abs/2201.05793v1)|null|
|**2022-01-15**|**Ensemble Transformer for Efficient and Accurate Ranking Tasks: an Application to Question Answering Systems**|Yoshitomo Matsubara et.al.|[2201.05767v1](http://arxiv.org/abs/2201.05767v1)|null|
|**2022-01-14**|**A Thousand Words Are Worth More Than a Picture: Natural Language-Centric Outside-Knowledge Visual Question Answering**|Feng Gao et.al.|[2201.05299v1](http://arxiv.org/abs/2201.05299v1)|null|
|**2022-01-14**|**Grow-and-Clip: Informative-yet-Concise Evidence Distillation for Answer Explanation**|Yuyan Chen et.al.|[2201.05088v2](http://arxiv.org/abs/2201.05088v2)|null|
|**2022-01-14**|**Towards Automated Error Analysis: Learning to Characterize Errors**|Tong Gao et.al.|[2201.05017v2](http://arxiv.org/abs/2201.05017v2)|null|
|**2022-01-11**|**Uni-EDEN: Universal Encoder-Decoder Network by Multi-Granular Vision-Language Pre-training**|Yehao Li et.al.|[2201.04026v1](http://arxiv.org/abs/2201.04026v1)|null|
|**2022-01-11**|**On the Efficacy of Co-Attention Transformer Layers in Visual Question Answering**|Ankur Sikarwar et.al.|[2201.03965v1](http://arxiv.org/abs/2201.03965v1)|null|
|**2022-01-10**|**SCROLLS: Standardized CompaRison Over Long Language Sequences**|Uri Shaham et.al.|[2201.03533v1](http://arxiv.org/abs/2201.03533v1)|**[link](https://github.com/tau-nlp/scrolls)**|
|**2022-01-10**|**COIN: Counterfactual Image Generation for VQA Interpretation**|Zeyd Boukhers et.al.|[2201.03342v1](http://arxiv.org/abs/2201.03342v1)|null|
|**2022-01-08**|**Extraction of Product Specifications from the Web -- Going Beyond Tables and Lists**|Govind Krishnan Gangadhar et.al.|[2201.02896v1](http://arxiv.org/abs/2201.02896v1)|null|
|**2022-01-07**|**MERLOT Reserve: Neural Script Knowledge through Vision and Language and Sound**|Rowan Zellers et.al.|[2201.02639v1](http://arxiv.org/abs/2201.02639v1)|null|
|**2022-01-07**|**RxWhyQA: a clinical question-answering dataset with the challenge of multi-answer questions**|Sungrim Moon et.al.|[2201.02517v1](http://arxiv.org/abs/2201.02517v1)|null|
|**2022-01-05**|**Does entity abstraction help generative Transformers reason?**|Nicolas Gontier et.al.|[2201.01787v1](http://arxiv.org/abs/2201.01787v1)|null|
## Information Extraction
|Publish Date|Title|Authors|PDF|Code|
|---|---|---|---|---|
|**2022-04-11**|**Semantic Information Market For The Metaverse: An Auction Based Approach**|Lotfi Ismail et.al.|[2204.04878v1](http://arxiv.org/abs/2204.04878v1)|null|
|**2022-04-10**|**Few-Shot Cross-lingual Transfer for Coarse-grained De-identification of Code-Mixed Clinical Texts**|Saadullah Amin et.al.|[2204.04775v1](http://arxiv.org/abs/2204.04775v1)|**[link](https://github.com/suamin/t2ner)**|
|**2022-04-10**|**A review of knowledge graph application scenarios in cyber security**|Kai Liu et.al.|[2204.04769v1](http://arxiv.org/abs/2204.04769v1)|null|
|**2022-04-08**|**Predicting Berth Stay for Tanker Terminals: A Systematic and Dynamic Approach**|Deqing Zhai et.al.|[2204.04085v1](http://arxiv.org/abs/2204.04085v1)|null|
|**2022-04-08**|**CrudeOilNews: An Annotated Crude Oil News Corpus for Event Extraction**|Meisin Lee et.al.|[2204.03871v1](http://arxiv.org/abs/2204.03871v1)|**[link](https://github.com/meisin/crudeoilnews-corpus)**|
|**2022-03-31**|**Leveraging pre-trained language models for conversational information seeking from text**|Patrizio Bellan et.al.|[2204.03542v1](http://arxiv.org/abs/2204.03542v1)|null|
|**2022-04-07**|**Musical Information Extraction from the Singing Voice**|Preeti Rao et.al.|[2204.03166v1](http://arxiv.org/abs/2204.03166v1)|null|
|**2022-04-06**|**Hammer PDF: An Intelligent PDF Reader for Scientific Papers**|Sheng-Fu Wang et.al.|[2204.02809v1](http://arxiv.org/abs/2204.02809v1)|null|
|**2022-04-06**|**Improving Zero-Shot Event Extraction via Sentence Simplification**|Sneha Mehta et.al.|[2204.02531v1](http://arxiv.org/abs/2204.02531v1)|null|
|**2022-04-04**|**Modern Views of Machine Learning for Precision Psychiatry**|Zhe Sage Chen et.al.|[2204.01607v1](http://arxiv.org/abs/2204.01607v1)|null|
|**2022-04-03**|**Automatic Dialect Density Estimation for African American English**|Alexander Johnson et.al.|[2204.00967v1](http://arxiv.org/abs/2204.00967v1)|null|
|**2022-04-01**|**Repeated Extraction of Scrambled Quantum Data: Sustainability of the Hayden-Preskill Type Protocols**|Seok Hyung Lie et.al.|[2204.00374v1](http://arxiv.org/abs/2204.00374v1)|null|
|**2022-03-31**|**CREATE: A Benchmark for Chinese Short Video Retrieval and Title Generation**|Ziqi Zhang et.al.|[2203.16763v1](http://arxiv.org/abs/2203.16763v1)|null|
|**2022-03-28**|**Computer Science Named Entity Recognition in the Open Research Knowledge Graph**|Jennifer D'Souza et.al.|[2203.14579v1](http://arxiv.org/abs/2203.14579v1)|**[link](https://github.com/jd-coderepos/contributions-ner-cs)**|
|**2022-03-26**|**Near-Infrared Depth-Independent Image Dehazing using Haar Wavelets**|Sumit Laha et.al.|[2203.14085v1](http://arxiv.org/abs/2203.14085v1)|null|
|**2022-03-22**|**Toward the End-to-End Optimization of Particle Physics Instruments with Differentiable Programming: a White Paper**|Tommaso Dorigo et.al.|[2203.13818v1](http://arxiv.org/abs/2203.13818v1)|null|
|**2022-03-28**|**ZS4IE: A toolkit for Zero-Shot Information Extraction with simple Verbalizations**|Oscar Sainz et.al.|[2203.13602v2](http://arxiv.org/abs/2203.13602v2)|**[link](https://github.com/bbn-e/zs4ie)**|
|**2022-03-24**|**Gender and Racial Stereotype Detection in Legal Opinion Word Embeddings**|Sean Matthews et.al.|[2203.13369v1](http://arxiv.org/abs/2203.13369v1)|null|
|**2022-03-23**|**Reflectivity spectra as absorption ones -- is it correct ?**|Marina Andreeva et.al.|[2203.12649v1](http://arxiv.org/abs/2203.12649v1)|null|
|**2022-03-23**|**Unified Structure Generation for Universal Information Extraction**|Yaojie Lu et.al.|[2203.12277v1](http://arxiv.org/abs/2203.12277v1)|null|
|**2022-03-22**|**Enhancing Mobile App Bug Reporting via Real-time Understanding of Reproduction Steps**|Mattia Fazzini et.al.|[2203.12093v1](http://arxiv.org/abs/2203.12093v1)|null|
|**2022-03-09**|**Filter Drug-induced Liver Injury Literature with Natural Language Processing and Ensemble Learning**|Xianghao Zhan et.al.|[2203.11015v1](http://arxiv.org/abs/2203.11015v1)|null|
|**2022-03-21**|**RGB-Depth Fusion GAN for Indoor Depth Completion**|Haowen Wang et.al.|[2203.10856v1](http://arxiv.org/abs/2203.10856v1)|null|
|**2022-03-21**|**An Intellectual Property Entity Recognition Method Based on Transformer and Technological Word Information**|Yuhui Wang et.al.|[2203.10717v1](http://arxiv.org/abs/2203.10717v1)|null|
|**2022-03-20**|**Immersive Text Game and Personality Classification**|Wanshui Li et.al.|[2203.10621v1](http://arxiv.org/abs/2203.10621v1)|null|
|**2022-03-20**|**Application of de-shape synchrosqueezing to estimate gait cadence from a single-sensor accelerometer placed in different body locations**|Hau-Tieng Wu et.al.|[2203.10563v1](http://arxiv.org/abs/2203.10563v1)|null|
|**2022-03-24**|**FormNet: Structural Encoding beyond Sequential Modeling in Form Document Information Extraction**|Chen-Yu Lee et.al.|[2203.08411v2](http://arxiv.org/abs/2203.08411v2)|null|
|**2022-03-16**|**Thinking about GPT-3 In-Context Learning for Biomedical IE? Think Again**|Bernal Jiménez Gutiérrez et.al.|[2203.08410v1](http://arxiv.org/abs/2203.08410v1)|null|
|**2022-03-15**|**Reconstructing Missing EHRs Using Time-Aware Within- and Cross-Visit Information for Septic Shock Early Prediction**|Ge Gao et.al.|[2203.08245v1](http://arxiv.org/abs/2203.08245v1)|null|
|**2022-03-13**|**Secret-to-Image Reversible Transformation for Generative Steganography**|Zhili Zhou et.al.|[2203.06598v1](http://arxiv.org/abs/2203.06598v1)|null|
|**2022-03-09**|**A Weibo Dataset for the 2022 Russo-Ukrainian Crisis**|Yi R. Fung et.al.|[2203.05967v1](http://arxiv.org/abs/2203.05967v1)|**[link](https://github.com/yrf1/russiaukraine_weibo_dataset)**|
|**2022-03-10**|**Semantic Norm Recognition and its application to Portuguese Law**|Maria Duarte et.al.|[2203.05425v1](http://arxiv.org/abs/2203.05425v1)|null|
|**2022-03-14**|**CEU-Net: Ensemble Semantic Segmentation of Hyperspectral Images Using Clustering**|Nicholas Soucy et.al.|[2203.04873v2](http://arxiv.org/abs/2203.04873v2)|null|
|**2022-03-09**|**PET: A new Dataset for Process Extraction from Natural Language Text**|Patrizio Bellan et.al.|[2203.04860v1](http://arxiv.org/abs/2203.04860v1)|null|
|**2022-03-08**|**A Unified Framework of Medical Information Annotation and Extraction for Chinese Clinical Text**|Enwei Zhu et.al.|[2203.03823v1](http://arxiv.org/abs/2203.03823v1)|**[link](https://github.com/syuoni/eznlp)**|
|**2022-03-07**|**Extracting Forces from Noisy Dynamics in Dusty Plasmas**|Wentao Yu et.al.|[2203.03740v1](http://arxiv.org/abs/2203.03740v1)|null|
|**2022-02-26**|**A Generative Model for Relation Extraction and Classification**|Jian Ni et.al.|[2202.13229v1](http://arxiv.org/abs/2202.13229v1)|null|
|**2022-02-24**|**XAutoML: A Visual Analytics Tool for Establishing Trust in Automated Machine Learning**|Marc-André Zöller et.al.|[2202.11954v1](http://arxiv.org/abs/2202.11954v1)|**[link](https://github.com/ennosigaeon/xautoml)**|
|**2022-02-16**|**Edge Data Based Trailer Inception Probabilistic Matrix Factorization for Context-Aware Movie Recommendation**|Honglong Chen et.al.|[2202.10236v1](http://arxiv.org/abs/2202.10236v1)|null|
|**2022-02-20**|**SOTitle: A Transformer-based Post Title Generation Approach for Stack Overflow**|Ke Liu et.al.|[2202.09789v1](http://arxiv.org/abs/2202.09789v1)|**[link](https://github.com/ntdxyg/sotitle)**|
|**2022-02-17**|**Multi-stage Ensemble Model for Cross-market Recommendation**|Cesare Bernardis et.al.|[2202.08824v1](http://arxiv.org/abs/2202.08824v1)|null|
|**2022-02-16**|**FAMIE: A Fast Active Learning Framework for Multilingual Information Extraction**|Minh Van Nguyen et.al.|[2202.08316v1](http://arxiv.org/abs/2202.08316v1)|**[link](https://github.com/nlp-uoregon/famie)**|
|**2022-02-16**|**Information extraction in photon-counting experiments**|Timon Schapeler et.al.|[2202.08042v1](http://arxiv.org/abs/2202.08042v1)|null|
|**2022-02-15**|**PILED: An Identify-and-Localize Framework for Few-Shot Event Detection**|Sha Li et.al.|[2202.07615v1](http://arxiv.org/abs/2202.07615v1)|null|
|**2022-02-14**|**Introducing the ICBe Dataset: Very High Recall and Precision Event Extraction from Narratives about International Crises**|Rex W. Douglass et.al.|[2202.07081v1](http://arxiv.org/abs/2202.07081v1)|null|
|**2022-02-12**|**Semi-supervised New Event Type Induction and Description via Contrastive Loss-Enforced Batch Attention**|Carl Edwards et.al.|[2202.05943v1](http://arxiv.org/abs/2202.05943v1)|null|
|**2022-02-11**|**Privacy-preserving Generative Framework Against Membership Inference Attacks**|Ruikang Yang et.al.|[2202.05469v1](http://arxiv.org/abs/2202.05469v1)|null|
|**2022-02-11**|**Towards the automated large-scale reconstruction of past road networks from historical maps**|Johannes H. Uhl et.al.|[2202.04883v2](http://arxiv.org/abs/2202.04883v2)|**[link](https://github.com/llimllib/ckmeans)**|
|**2022-02-09**|**Semantic Segmentation of Anaemic RBCs Using Multilevel Deep Convolutional Encoder-Decoder Network**|Muhammad Shahzad et.al.|[2202.04650v1](http://arxiv.org/abs/2202.04650v1)|null|
|**2022-02-09**|**Nuclear Spectroscopy with Heavy Ion Nucleon Knockout and (p,2p) Reactions**|Jianguo Li et.al.|[2202.04354v1](http://arxiv.org/abs/2202.04354v1)|null|
|**2022-02-04**|**TransFollower: Long-Sequence Car-Following Trajectory Prediction through Transformer**|Meixin Zhu et.al.|[2202.03183v1](http://arxiv.org/abs/2202.03183v1)|null|
|**2022-02-07**|**Document-Level Event Extraction via Human-Like Reading Process**|Shiyao Cui et.al.|[2202.03092v1](http://arxiv.org/abs/2202.03092v1)|null|
|**2022-02-05**|**An Olfactory EEG Signal Classification Network Based on Frequency Band Feature Extraction**|Biao Sun et.al.|[2202.02487v1](http://arxiv.org/abs/2202.02487v1)|null|
|**2022-02-03**|**The DESI PRObabilistic Value-Added Bright Galaxy Survey (PROVABGS) Mock Challenge**|ChangHoon Hahn et.al.|[2202.01809v1](http://arxiv.org/abs/2202.01809v1)|**[link](https://github.com/changhoonhahn/provabgs)**|
|**2022-01-29**|**Information Extraction through AI techniques: The KIDs use case at CONSOB**|Domenico Lembo et.al.|[2202.01178v1](http://arxiv.org/abs/2202.01178v1)|null|
|**2022-02-02**|**Pop Quiz! Can a Large Language Model Help With Reverse Engineering?**|Hammond Pearce et.al.|[2202.01142v1](http://arxiv.org/abs/2202.01142v1)|null|
|**2022-02-01**|**WebFormer: The Web-page Transformer for Structure Information Extraction**|Qifan Wang et.al.|[2202.00217v1](http://arxiv.org/abs/2202.00217v1)|null|
|**2022-01-31**|**POTATO: exPlainable infOrmation exTrAcTion framewOrk**|Ádám Kovács et.al.|[2201.13230v1](http://arxiv.org/abs/2201.13230v1)|**[link](https://github.com/adaamko/potato)**|
|**2022-01-29**|**Rethinking Adjacent Dependency in Session-based Recommendations**|Qian Zhang et.al.|[2201.12532v1](http://arxiv.org/abs/2201.12532v1)|null|
|**2022-01-27**|**Work extraction from single-mode thermal noise by measurements: How important is information?**|Avijit Misra et.al.|[2201.11567v1](http://arxiv.org/abs/2201.11567v1)|null|
|**2022-01-27**|**DocSegTr: An Instance-Level End-to-End Document Image Segmentation Transformer**|Sanket Biswas et.al.|[2201.11438v1](http://arxiv.org/abs/2201.11438v1)|null|
|**2022-01-27**|**Ontology-enhanced Prompt-tuning for Few-shot Learning**|Hongbin Ye et.al.|[2201.11332v1](http://arxiv.org/abs/2201.11332v1)|null|
|**2022-01-30**|**Epistemic AI platform accelerates innovation by connecting biomedical knowledge**|Emily Koo et.al.|[2201.11331v2](http://arxiv.org/abs/2201.11331v2)|null|
|**2022-02-02**|**Adaptive Resonance Theory-based Topological Clustering with a Divisive Hierarchical Structure Capable of Continual Learning**|Naoki Masuyama et.al.|[2201.10713v2](http://arxiv.org/abs/2201.10713v2)|null|
|**2022-01-25**|**DOM-LM: Learning Generalizable Representations for HTML Documents**|Xiang Deng et.al.|[2201.10608v1](http://arxiv.org/abs/2201.10608v1)|null|
|**2022-01-25**|**Cold Start Active Learning Strategies in the Context of Imbalanced Classification**|Etienne Brangbour et.al.|[2201.10227v1](http://arxiv.org/abs/2201.10227v1)|null|
|**2022-01-24**|**Generating Clarifying Questions for Query Refinement in Source Code Search**|Zachary Eberhart et.al.|[2201.09974v1](http://arxiv.org/abs/2201.09974v1)|**[link](https://github.com/zeberhart/zacq)**|
|**2022-01-20**|**AstBERT: Enabling Language Model for Code Understanding with Abstract Syntax Tree**|Rong Liang et.al.|[2201.07984v1](http://arxiv.org/abs/2201.07984v1)|null|
|**2022-01-18**|**Cross-modal Contrastive Distillation for Instructional Activity Anticipation**|Zhengyuan Yang et.al.|[2201.06734v1](http://arxiv.org/abs/2201.06734v1)|null|
|**2022-01-16**|**Temporal Relation Extraction with a Graph-Based Deep Biaffine Attention Model**|Bo-Ying Su et.al.|[2201.06125v1](http://arxiv.org/abs/2201.06125v1)|null|
|**2022-01-16**|**PolicyCLOUD: A prototype of a Cloud Serverless Ecosystem for Policy Analytics**|Ofer Biran et.al.|[2201.06077v1](http://arxiv.org/abs/2201.06077v1)|null|
|**2022-01-15**|**Extracting Space Situational Awareness Events from News Text**|Zhengnan Xie et.al.|[2201.05721v1](http://arxiv.org/abs/2201.05721v1)|**[link](https://github.com/cognitiveailab/ssa-corpus)**|
|**2022-01-14**|**Sequence-to-Sequence Models for Extracting Information from Registration and Legal Documents**|Ramon Pires et.al.|[2201.05658v1](http://arxiv.org/abs/2201.05658v1)|null|
|**2022-01-13**|**CLIP-Event: Connecting Text and Images with Event Structures**|Manling Li et.al.|[2201.05078v1](http://arxiv.org/abs/2201.05078v1)|null|
|**2022-01-24**|**DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population**|Ningyu Zhang et.al.|[2201.03335v2](http://arxiv.org/abs/2201.03335v2)|**[link](https://github.com/zjunlp/deepke)**|
|**2022-01-10**|**Writing Style Aware Document-level Event Extraction**|Zhuo Xu et.al.|[2201.03188v1](http://arxiv.org/abs/2201.03188v1)|null|
|**2022-01-07**|**Data-Efficient Information Extraction from Form-Like Documents**|Beliz Gunel et.al.|[2201.02647v1](http://arxiv.org/abs/2201.02647v1)|null|
|**2022-01-05**|**Monitoring Energy Trends through Automatic Information Extraction**|Dilek Küçük et.al.|[2201.01559v1](http://arxiv.org/abs/2201.01559v1)|null|
|**2021-12-22**|**Deep Reinforcement Learning for Optimal Power Flow with Renewables Using Spatial-Temporal Graph Information**|Jinhao Li et.al.|[2112.11461v1](http://arxiv.org/abs/2112.11461v1)|null|
|**2021-12-18**|**Syntactic-GCN Bert based Chinese Event Extraction**|Jiangwei Liu et.al.|[2112.09939v1](http://arxiv.org/abs/2112.09939v1)|null|
|**2021-12-15**|**GenIE: Generative Information Extraction**|Martin Josifoski et.al.|[2112.08340v1](http://arxiv.org/abs/2112.08340v1)|null|
|**2021-12-15**|**Named entity recognition architecture combining contextual and global features**|Tran Thi Hong Hanh et.al.|[2112.08033v1](http://arxiv.org/abs/2112.08033v1)|**[link](https://github.com/honghanhh/ner-combining-contextual-and-global-features)**|
|**2021-12-14**|**Noise Reduction and Driving Event Extraction Method for Performance Improvement on Driving Noise-based Surface Anomaly Detection**|YeongHyeon Park et.al.|[2112.07214v1](http://arxiv.org/abs/2112.07214v1)|null|
## Recommendation System
|Publish Date|Title|Authors|PDF|Code|
|---|---|---|---|---|
|**2022-04-11**|**Reinforcement Re-ranking with 2D Grid-based Recommendation Panels**|Sirui Chen et.al.|[2204.04954v1](http://arxiv.org/abs/2204.04954v1)|null|
|**2022-04-11**|**PICASSO: Unleashing the Potential of GPU-centric Training for Wide-and-deep Recommender Systems**|Yuanxing Zhang et.al.|[2204.04903v1](http://arxiv.org/abs/2204.04903v1)|null|
|**2022-04-10**|**Temporal Knowledge Graph Reasoning with Low-rank and Model-agnostic Representations**|Ioannis Dikeoulias et.al.|[2204.04783v1](http://arxiv.org/abs/2204.04783v1)|**[link](https://github.com/iodike/chronokge)**|
|**2022-04-10**|**A Distributed Real-Time Recommender System for Big Data Streams**|Heidy Hazem et.al.|[2204.04633v1](http://arxiv.org/abs/2204.04633v1)|null|
|**2022-04-08**|**Identifying Ambiguous Similarity Conditions via Semantic Matching**|Han-Jia Ye et.al.|[2204.04053v1](http://arxiv.org/abs/2204.04053v1)|null|
|**2022-04-08**|**IA-GCN: Interactive Graph Convolutional Network for Recommendation**|Yinan Zhang et.al.|[2204.03827v1](http://arxiv.org/abs/2204.03827v1)|null|
|**2022-04-07**|**Introducing a Framework and a Decision Protocol to Calibrate Recommender Systems**|Diego Corrêa da Silva et.al.|[2204.03706v1](http://arxiv.org/abs/2204.03706v1)|null|
|**2022-04-07**|**Single-shot Embedding Dimension Search in Recommender System**|Liang Qu et.al.|[2204.03281v1](http://arxiv.org/abs/2204.03281v1)|null|
|**2022-04-07**|**Musical Information Extraction from the Singing Voice**|Preeti Rao et.al.|[2204.03166v1](http://arxiv.org/abs/2204.03166v1)|null|
|**2022-04-06**|**Effective Exposure Amortizing for Fair Top-k Recommendation**|Tao Yang et.al.|[2204.03046v1](http://arxiv.org/abs/2204.03046v1)|null|
|**2022-04-06**|**The Moral Integrity Corpus: A Benchmark for Ethical Dialogue Systems**|Caleb Ziems et.al.|[2204.03021v1](http://arxiv.org/abs/2204.03021v1)|**[link](https://github.com/gt-salt/mic)**|
|**2022-04-06**|**Global Readiness of Language Technology for Healthcare: What would it Take to Combat the Next Pandemic?**|Ishani Mondal et.al.|[2204.02790v1](http://arxiv.org/abs/2204.02790v1)|null|
|**2022-04-06**|**Improving Multi-task Generalization Ability for Neural Text Matching via Prompt Learning**|Shicheng Xu et.al.|[2204.02725v1](http://arxiv.org/abs/2204.02725v1)|null|
|**2022-04-06**|**There Are a Thousand Hamlets in a Thousand People's Eyes: Enhancing Knowledge-grounded Dialogue with Personal Memory**|Tingchen Fu et.al.|[2204.02624v1](http://arxiv.org/abs/2204.02624v1)|**[link](https://github.com/lucasftc/personakgc)**|
|**2022-04-05**|**MGDCF: Distance Learning via Markov Graph Diffusion for Neural Collaborative Filtering**|Jun Hu et.al.|[2204.02338v1](http://arxiv.org/abs/2204.02338v1)|**[link](https://github.com/hujunxianligong/MGDCF)**|
|**2022-04-04**|**A Unit-Consistent Tensor Completion with Applications in Recommender Systems**|Tung Nguyen et.al.|[2204.01815v1](http://arxiv.org/abs/2204.01815v1)|null|
|**2022-04-04**|**GWA: A Large High-Quality Acoustic Dataset for Audio Processing**|Zhenyu Tang et.al.|[2204.01787v1](http://arxiv.org/abs/2204.01787v1)|null|
|**2022-04-04**|**Towards Privacy-Preserving and Verifiable Federated Matrix Factorization**|Xicheng Wan et.al.|[2204.01601v1](http://arxiv.org/abs/2204.01601v1)|null|
|**2022-04-04**|**Automated Machine Learning for Deep Recommender Systems: A Survey**|Bo Chen et.al.|[2204.01390v1](http://arxiv.org/abs/2204.01390v1)|null|
|**2022-04-04**|**CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System**|Chongming Gao et.al.|[2204.01266v1](http://arxiv.org/abs/2204.01266v1)|**[link](https://github.com/chongminggao/cirs-codes)**|
|**2022-04-04**|**Analysis of Joint Speech-Text Embeddings for Semantic Matching**|Muhammad Huzaifah et.al.|[2204.01235v1](http://arxiv.org/abs/2204.01235v1)|null|
|**2022-04-03**|**Virtual Relational Knowledge Graphs for Recommendation**|Lingyun Lu et.al.|[2204.01089v1](http://arxiv.org/abs/2204.01089v1)|null|
|**2022-04-03**|**A Dynamic Meta-Learning Model for Time-Sensitive Cold-Start Recommendations**|Krishna Prasad Neupane et.al.|[2204.00970v1](http://arxiv.org/abs/2204.00970v1)|null|
|**2022-04-02**|**Learning to Augment for Casual User Recommendation**|Jianling Wang et.al.|[2204.00926v1](http://arxiv.org/abs/2204.00926v1)|null|
|**2022-04-02**|**Transformer-Empowered Content-Aware Collaborative Filtering**|Weizhe Lin et.al.|[2204.00849v1](http://arxiv.org/abs/2204.00849v1)|null|
|**2022-04-02**|**Generating recommendations for entity-oriented exploratory search**|David Wadden et.al.|[2204.00743v1](http://arxiv.org/abs/2204.00743v1)|null|
|**2022-04-01**|**i-Razor: A Neural Input Razor for Feature Selection and Dimension Search in Large-Scale Recommender Systems**|Yao Yao et.al.|[2204.00281v1](http://arxiv.org/abs/2204.00281v1)|null|
|**2022-04-01**|**Proactively Control Privacy in Recommender Systems**|Ziqian Chen et.al.|[2204.00279v1](http://arxiv.org/abs/2204.00279v1)|null|
|**2022-04-01**|**Sequential Recommendation with Causal Behavior Discovery**|Zhenlei Wang et.al.|[2204.00216v1](http://arxiv.org/abs/2204.00216v1)|null|
|**2022-04-01**|**Leveraging Privacy Profiles to Empower Users in the Digital Society**|Davide Di Ruscio et.al.|[2204.00011v1](http://arxiv.org/abs/2204.00011v1)|null|
|**2022-03-31**|**A Rich Recipe Representation as Plan to Support Expressive Multi Modal Queries on Recipe Content and Preparation Process**|Vishal Pallagani et.al.|[2203.17109v1](http://arxiv.org/abs/2203.17109v1)|null|
|**2022-03-31**|**Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck**|Jiangxia Cao et.al.|[2203.16863v1](http://arxiv.org/abs/2203.16863v1)|**[link](https://github.com/cjx96/cdrib)**|
|**2022-03-30**|**Long-term Dynamics of Fairness Intervention in Connection Recommender Systems**|Nil-Jana Akpinar et.al.|[2203.16432v1](http://arxiv.org/abs/2203.16432v1)|null|
|**2022-03-29**|**Self-Supervised Learning for Recommender Systems: A Survey**|Junliang Yu et.al.|[2203.15876v1](http://arxiv.org/abs/2203.15876v1)|null|
|**2022-03-29**|**Near-optimality for infinite-horizon restless bandits with many arms**|Xiangyu Zhang et.al.|[2203.15853v1](http://arxiv.org/abs/2203.15853v1)|null|
|**2022-03-28**|**Learning to Collide: Recommendation System Model Compression with Learned Hash Functions**|Benjamin Ghaemmaghami et.al.|[2203.15837v1](http://arxiv.org/abs/2203.15837v1)|null|
|**2022-03-29**|**StyleT2I: Toward Compositional and High-Fidelity Text-to-Image Synthesis**|Zhiheng Li et.al.|[2203.15799v1](http://arxiv.org/abs/2203.15799v1)|**[link](https://github.com/zhihengli-UR/StyleT2I)**|
|**2022-03-29**|**Revisiting Neighborhood-based Link Prediction for Collaborative Filtering**|Hao-Ming Fu et.al.|[2203.15789v1](http://arxiv.org/abs/2203.15789v1)|null|
|**2022-03-28**|**Specialized Document Embeddings for Aspect-based Similarity of Research Papers**|Malte Ostendorff et.al.|[2203.14541v1](http://arxiv.org/abs/2203.14541v1)|**[link](https://github.com/malteos/aspect-document-embeddings)**|
|**2022-03-27**|**Budget-Constrained Reinforcement of Ranked Objects**|Amir Ban et.al.|[2203.14305v1](http://arxiv.org/abs/2203.14305v1)|null|
|**2022-03-27**|**BARCOR: Towards A Unified Framework for Conversational Recommendation Systems**|Ting-Chun Wang et.al.|[2203.14257v1](http://arxiv.org/abs/2203.14257v1)|null|
|**2022-03-26**|**Demonstrating CAT: Synthesizing Data-Aware Conversational Agents for Transactional Databases**|Marius Gassen et.al.|[2203.14144v1](http://arxiv.org/abs/2203.14144v1)|null|
|**2022-03-26**|**Distributed data analytics**|Richard Mortier et.al.|[2203.14088v1](http://arxiv.org/abs/2203.14088v1)|null|
|**2022-03-26**|**Data Augmentation Strategies for Improving Sequential Recommender Systems**|Joo-yeong Song et.al.|[2203.14037v1](http://arxiv.org/abs/2203.14037v1)|null|
|**2022-03-26**|**Transfer of codebook latent factors for cross-domain recommendation with non-overlapping data**|Sowmini Devi Veeramachaneni et.al.|[2203.13995v1](http://arxiv.org/abs/2203.13995v1)|null|
|**2022-03-25**|**AutoML for Deep Recommender Systems: A Survey**|Ruiqi Zheng et.al.|[2203.13922v1](http://arxiv.org/abs/2203.13922v1)|null|
|**2022-03-25**|**An Audit of Misinformation Filter Bubbles on YouTube: Bubble Bursting and Recent Behavior Changes**|Matus Tomlein et.al.|[2203.13769v1](http://arxiv.org/abs/2203.13769v1)|**[link](https://github.com/kinit-sk/yaudit-recsys-2021)**|
|**2022-03-25**|**Modeling Attrition in Recommender Systems with Departing Bandits**|Omer Ben-Porat et.al.|[2203.13423v1](http://arxiv.org/abs/2203.13423v1)|null|
|**2022-03-24**|**Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)**|Shijie Geng et.al.|[2203.13366v1](http://arxiv.org/abs/2203.13366v1)|null|
|**2022-03-24**|**Impacts of Personal Characteristics on User Trust in Conversational Recommender Systems**|Wanling Cai et.al.|[2203.12981v1](http://arxiv.org/abs/2203.12981v1)|null|
|**2022-03-24**|**Duality-Induced Regularizer for Semantic Matching Knowledge Graph Embeddings**|Jie Wang et.al.|[2203.12949v1](http://arxiv.org/abs/2203.12949v1)|null|
|**2022-03-23**|**Deep Multi-View Learning for Tire Recommendation**|Thomas Ranvier et.al.|[2203.12451v1](http://arxiv.org/abs/2203.12451v1)|null|
|**2022-03-23**|**PEAR: Personalized Re-ranking with Contextualized Transformer for Recommendation**|Yi Li et.al.|[2203.12267v1](http://arxiv.org/abs/2203.12267v1)|null|
|**2022-03-23**|**Privacy-Preserving Personalized Fitness Recommender System (P3FitRec): A Multi-level Deep Learning Approach**|Xiao Liu et.al.|[2203.12200v1](http://arxiv.org/abs/2203.12200v1)|null|
|**2022-03-22**|**Explainability in reinforcement learning: perspective and position**|Agneza Krajna et.al.|[2203.11547v1](http://arxiv.org/abs/2203.11547v1)|null|
|**2022-03-22**|**Making Recommender Systems Forget: Learning and Unlearning for Erasable Recommendation**|Yuyuan Li et.al.|[2203.11491v1](http://arxiv.org/abs/2203.11491v1)|null|
|**2022-03-25**|**YouTube, The Great Radicalizer? Auditing and Mitigating Ideological Biases in YouTube Recommendations**|Muhammad Haroon et.al.|[2203.10666v2](http://arxiv.org/abs/2203.10666v2)|null|
|**2022-03-20**|**Explicit User Manipulation in Reinforcement Learning Based Recommender Systems**|Matthew Sparr et.al.|[2203.10629v1](http://arxiv.org/abs/2203.10629v1)|null|
|**2022-03-20**|**Recognising the importance of preference change: A call for a coordinated multidisciplinary research effort in the age of AI**|Matija Franklin et.al.|[2203.10525v1](http://arxiv.org/abs/2203.10525v1)|null|
|**2022-03-19**|**Meta-Learning for Online Update of Recommender Systems**|Minseok Kim et.al.|[2203.10354v1](http://arxiv.org/abs/2203.10354v1)|**[link](https://github.com/kaist-dmlab/MeLON)**|
|**2022-03-19**|**Doubly Robust Collaborative Targeted Learning for Recommendation on Data Missing Not at Random**|Peng Wu et.al.|[2203.10258v1](http://arxiv.org/abs/2203.10258v1)|null|
|**2022-03-18**|**Learning Compressed Embeddings for On-Device Inference**|Niketan Pansare et.al.|[2203.10135v1](http://arxiv.org/abs/2203.10135v1)|null|
|**2022-03-18**|**Bayesian Low-rank Matrix Completion with Dual-graph Embedding: Prior Analysis and Tuning-free Inference**|Yangge Chen et.al.|[2203.10044v1](http://arxiv.org/abs/2203.10044v1)|null|
|**2022-03-18**|**FORCE: A Framework of Rule-Based Conversational Recommender System**|Jun Quan et.al.|[2203.10001v1](http://arxiv.org/abs/2203.10001v1)|null|
|**2022-03-17**|**EVA2.0: Investigating Open-Domain Chinese Dialogue Systems with Large-Scale Pre-Training**|Yuxian Gu et.al.|[2203.09313v1](http://arxiv.org/abs/2203.09313v1)|**[link](https://github.com/thu-coai/EVA)**|
|**2022-03-17**|**Conversational Recommendation: A Grand AI Challenge**|Dietmar Jannach et.al.|[2203.09126v1](http://arxiv.org/abs/2203.09126v1)|null|
|**2022-03-16**|**How do you Converse with an Analytical Chatbot? Revisiting Gricean Maxims for Designing Analytical Conversational Behavior**|Vidya Setlur et.al.|[2203.08420v1](http://arxiv.org/abs/2203.08420v1)|null|
|**2022-03-16**|**Are you aware of what you are watching? Role of machine heuristic in online content recommendations**|Soyoung Oh et.al.|[2203.08373v1](http://arxiv.org/abs/2203.08373v1)|null|
|**2022-03-15**|**CSRS: Code Search with Relevance Matching and Semantic Matching**|Yi Cheng et.al.|[2203.07736v1](http://arxiv.org/abs/2203.07736v1)|null|
|**2022-03-16**|**Seamlessly Integrating Factual Information and Social Content with Persuasive Dialogue**|Maximillian Chen et.al.|[2203.07657v2](http://arxiv.org/abs/2203.07657v2)|null|
|**2022-03-15**|**TSM: Measuring the Enticement of Honeyfiles with Natural Language Processing**|Roelien C. Timmer et.al.|[2203.07580v1](http://arxiv.org/abs/2203.07580v1)|null|
|**2022-03-14**|**Hercules: Heterogeneity-Aware Inference Serving for At-Scale Personalized Recommendation**|Liu Ke et.al.|[2203.07424v1](http://arxiv.org/abs/2203.07424v1)|null|
|**2022-03-13**|**Exploring Customer Price Preference and Product Profit Role in Recommender Systems**|Michal Kompan et.al.|[2203.06641v1](http://arxiv.org/abs/2203.06641v1)|null|
|**2022-03-13**|**Bi-Sampling Approach to Classify Music Mood leveraging Raga-Rasa Association in Indian Classical Music**|Mohan Rao B C et.al.|[2203.06583v1](http://arxiv.org/abs/2203.06583v1)|null|
|**2022-03-11**|**Personalized Execution Time Optimization for the Scheduled Jobs**|Yang Liu et.al.|[2203.06158v1](http://arxiv.org/abs/2203.06158v1)|null|
|**2022-03-11**|**MemoRec: A Recommender System for Assisting Modelers in Specifying Metamodels**|Juri Di Rocco et.al.|[2203.06068v1](http://arxiv.org/abs/2203.06068v1)|null|
|**2022-03-11**|**An Adaptive Hybrid Active Learning Strategy with Free Ratings in Collaborative Filtering**|Alireza Gharahighehi et.al.|[2203.05954v1](http://arxiv.org/abs/2203.05954v1)|null|
|**2022-03-10**|**Balancing Consumer and Business Value of Recommender Systems: A Simulation-based Analysis**|Nada Ghanem et.al.|[2203.05952v1](http://arxiv.org/abs/2203.05952v1)|null|
|**2022-03-11**|**Towards Analyzing the Bias of News Recommender Systems Using Sentiment and Stance Detection**|Mehwish Alam et.al.|[2203.05824v1](http://arxiv.org/abs/2203.05824v1)|null|
|**2022-03-10**|**Disentangled Multimodal Representation Learning for Recommendation**|Fan Liu et.al.|[2203.05406v1](http://arxiv.org/abs/2203.05406v1)|null|
|**2022-03-09**|**Addressing Bias in Visualization Recommenders by Identifying Trends in Training Data: Improving VizML Through a Statistical Analysis of the Plotly Community Feed**|Allen Tu et.al.|[2203.04937v1](http://arxiv.org/abs/2203.04937v1)|null|
|**2022-03-09**|**BaM: A Case for Enabling Fine-grain High Throughput GPU-Orchestrated Access to Storage**|Zaid Qureshi et.al.|[2203.04910v1](http://arxiv.org/abs/2203.04910v1)|null|
|**2022-03-08**|**Probabilistic Warp Consistency for Weakly-Supervised Semantic Correspondences**|Prune Truong et.al.|[2203.04279v1](http://arxiv.org/abs/2203.04279v1)|**[link](https://github.com/PruneTruong/DenseMatching)**|
|**2022-03-10**|**Targeted Data Poisoning Attack on News Recommendation System by Content Perturbation**|Xudong Zhang et.al.|[2203.03560v2](http://arxiv.org/abs/2203.03560v2)|null|
|**2022-03-07**|**Towards Robust Online Dialogue Response Generation**|Leyang Cui et.al.|[2203.03168v1](http://arxiv.org/abs/2203.03168v1)|null|
|**2022-03-06**|**Divide and Conquer: Text Semantic Matching with Disentangled Keywords and Intents**|Yicheng Zou et.al.|[2203.02898v1](http://arxiv.org/abs/2203.02898v1)|**[link](https://github.com/rowitzou/dc-match)**|
|**2022-03-05**|**Off-Policy Evaluation in Embedded Spaces**|Jaron J. R. Lee et.al.|[2203.02807v1](http://arxiv.org/abs/2203.02807v1)|null|
|**2022-03-05**|**Cluster-based Contrastive Disentangling for Generalized Zero-Shot Learning**|Yi Gao et.al.|[2203.02648v1](http://arxiv.org/abs/2203.02648v1)|null|
|**2022-03-04**|**Beyond Plain Toxic: Detection of Inappropriate Statements on Flammable Topics for the Russian Language**|Nikolay Babakov et.al.|[2203.02392v1](http://arxiv.org/abs/2203.02392v1)|null|
|**2022-03-03**|**Baba is Y'all 2.0: Design and Investigation of a Collaborative Mixed-Initiative System**|M Charity et.al.|[2203.02035v1](http://arxiv.org/abs/2203.02035v1)|null|
|**2022-03-03**|**Sparse Bayesian Optimization**|Sulin Liu et.al.|[2203.01900v1](http://arxiv.org/abs/2203.01900v1)|null|
|**2022-03-02**|**Counterfactually Evaluating Explanations in Recommender Systems**|Yuanshun Yao et.al.|[2203.01310v1](http://arxiv.org/abs/2203.01310v1)|null|
|**2022-03-02**|**Recommendations in a Multi-Domain Setting: Adapting for Customization, Scalability and Real-Time Performance**|Emanuel Lacic et.al.|[2203.01256v1](http://arxiv.org/abs/2203.01256v1)|null|
|**2022-03-02**|**Top-N Recommendation Algorithms: A Quest for the State-of-the-Art**|Vito Walter Anelli et.al.|[2203.01155v1](http://arxiv.org/abs/2203.01155v1)|null|
|**2022-03-02**|**An Effective Way for Cross-Market Recommendation with Hybrid Pre-Ranking and Ranking Models**|Qi Zhang et.al.|[2203.00897v1](http://arxiv.org/abs/2203.00897v1)|**[link](https://github.com/opdai/wsdm2022-xmrec-top1-solution)**|
|**2022-03-01**|**Popularity Bias in Collaborative Filtering-Based Multimedia Recommender Systems**|Dominik Kowald et.al.|[2203.00376v1](http://arxiv.org/abs/2203.00376v1)|null|
|**2022-03-01**|**Semantic Sentence Composition Reasoning for Multi-Hop Question Answering**|Qianglong Chen et.al.|[2203.00160v1](http://arxiv.org/abs/2203.00160v1)|null|
|**2022-03-01**|**The dangers in algorithms learning humans' values and irrationalities**|Rebecca Gorman et.al.|[2202.13985v2](http://arxiv.org/abs/2202.13985v2)|null|
|**2022-02-28**|**WSLRec: Weakly Supervised Learning for Neural Sequential Recommendation Models**|Jingwei Zhuo et.al.|[2202.13616v1](http://arxiv.org/abs/2202.13616v1)|null|
|**2022-02-28**|**Are Big Recommendation Models Fair to Cold Users?**|Chuhan Wu et.al.|[2202.13607v1](http://arxiv.org/abs/2202.13607v1)|null|
|**2022-02-27**|**The Unfairness of Popularity Bias in Book Recommendation**|Mohammadmehdi Naghiaei et.al.|[2202.13446v1](http://arxiv.org/abs/2202.13446v1)|**[link](https://github.com/rahmanidashti/fairbook)**|
|**2022-02-27**|**The Unfairness of Active Users and Popularity Bias in Point-of-Interest Recommendation**|Hossein A. Rahmani et.al.|[2202.13307v1](http://arxiv.org/abs/2202.13307v1)|**[link](https://github.com/RecSys-lab/FairPOI)**|
|**2022-02-26**|**Learning over No-Preferred and Preferred Sequence of Items for Robust Recommendation (Extended Abstract)**|Aleksandra Burashnikova et.al.|[2202.13240v1](http://arxiv.org/abs/2202.13240v1)|**[link](https://github.com/SashaBurashnikova/SAROS)**|
|**2022-02-24**|**AutoCl : A Visual Interactive System for Automatic Deep Learning Classifier Recommendation Based on Models Performance**|Fuad Ahmed et.al.|[2202.11928v1](http://arxiv.org/abs/2202.11928v1)|null|
|**2022-02-23**|**TEE-based decentralized recommender systems: The raw data sharing redemption**|Akash Dhasade et.al.|[2202.11655v1](http://arxiv.org/abs/2202.11655v1)|**[link](https://github.com/rafaelppires/rex)**|
|**2022-02-23**|**A Semi-Synthetic Dataset Generation Framework for Causal Inference in Recommender Systems**|Yan Lyu et.al.|[2202.11351v1](http://arxiv.org/abs/2202.11351v1)|**[link](https://github.com/KID-22/CTAR)**|
|**2022-02-23**|**Deep Reinforcement Learning: Opportunities and Challenges**|Yuxi Li et.al.|[2202.11296v1](http://arxiv.org/abs/2202.11296v1)|null|
|**2022-02-22**|**Speciesist bias in AI -- How AI applications perpetuate discrimination and unfair outcomes against animals**|Thilo Hagendorff et.al.|[2202.10848v1](http://arxiv.org/abs/2202.10848v1)|null|
|**2022-02-22**|**KuaiRec: A Fully-observed Dataset for Recommender Systems**|Chongming Gao et.al.|[2202.10842v1](http://arxiv.org/abs/2202.10842v1)|**[link](https://github.com/chongminggao/KuaiRec)**|
|**2022-02-22**|**Graph Lifelong Learning: A Survey**|Falih Gozi Febrinanto et.al.|[2202.10688v1](http://arxiv.org/abs/2202.10688v1)|null|
|**2022-02-22**|**Batched Dueling Bandits**|Arpit Agarwal et.al.|[2202.10660v1](http://arxiv.org/abs/2202.10660v1)|null|
|**2022-02-22**|**Online Caching with Optimistic Learning**|Naram Mhaisen et.al.|[2202.10590v1](http://arxiv.org/abs/2202.10590v1)|null|
|**2022-02-16**|**VRConvMF: Visual Recurrent Convolutional Matrix Factorization for Movie Recommendation**|Zhu Wang et.al.|[2202.10241v1](http://arxiv.org/abs/2202.10241v1)|null|
|**2022-02-16**|**Edge Data Based Trailer Inception Probabilistic Matrix Factorization for Context-Aware Movie Recommendation**|Honglong Chen et.al.|[2202.10236v1](http://arxiv.org/abs/2202.10236v1)|null|
|**2022-02-20**|**Graph-based Extractive Explainer for Recommendations**|Peng Wang et.al.|[2202.09730v1](http://arxiv.org/abs/2202.09730v1)|null|
|**2022-02-19**|**Reciprocity in Machine Learning**|Mukund Sundararajan et.al.|[2202.09480v1](http://arxiv.org/abs/2202.09480v1)|null|
|**2022-02-18**|**iMARS: An In-Memory-Computing Architecture for Recommendation Systems**|Mengyuan Li et.al.|[2202.09433v1](http://arxiv.org/abs/2202.09433v1)|null|
|**2022-02-17**|**A recommender system for automatic picking of subsurface formation tops**|Jesse R. Pisel et.al.|[2202.08869v1](http://arxiv.org/abs/2202.08869v1)|**[link](https://github.com/jessepisel/matrixfactorization)**|
|**2022-02-17**|**Should I send this notification? Optimizing push notifications decision making by modeling the future**|Conor O'Brien et.al.|[2202.08812v1](http://arxiv.org/abs/2202.08812v1)|null|
|**2022-02-17**|**Improving Rating and Relevance with Point-of-Interest Recommender System**|Syed Raza Bashir et.al.|[2202.08751v1](http://arxiv.org/abs/2202.08751v1)|null|
|**2022-02-17**|**Generalizable Information Theoretic Causal Representation**|Mengyue Yang et.al.|[2202.08388v1](http://arxiv.org/abs/2202.08388v1)|null|
|**2022-02-16**|**Branching Reinforcement Learning**|Yihan Du et.al.|[2202.07995v1](http://arxiv.org/abs/2202.07995v1)|null|
|**2022-02-15**|**Personalized Prompt Learning for Explainable Recommendation**|Lei Li et.al.|[2202.07371v1](http://arxiv.org/abs/2202.07371v1)|**[link](https://github.com/lileipisces/pepler)**|
|**2022-02-15**|**Case law retrieval: problems, methods, challenges and evaluations in the last 20 years**|Daniel Locke et.al.|[2202.07209v1](http://arxiv.org/abs/2202.07209v1)|null|
|**2022-02-14**|**UA-FedRec: Untargeted Attack on Federated News Recommendation**|Jingwei Yi et.al.|[2202.06701v1](http://arxiv.org/abs/2202.06701v1)|**[link](https://github.com/yjw1029/ua-fedrec)**|
|**2022-02-14**|**Neural Re-ranking in Multi-stage Recommender Systems: A Review**|Weiwen Liu et.al.|[2202.06602v1](http://arxiv.org/abs/2202.06602v1)|**[link](https://github.com/librerank-community/librerank)**|
|**2022-02-14**|**Semantic Matching from Different Perspectives**|Weijie Liu et.al.|[2202.06517v1](http://arxiv.org/abs/2202.06517v1)|**[link](https://github.com/autoliuweijie/mpts)**|
|**2022-02-14**|**Real World Large Scale Recommendation Systems Reproducibility and Smooth Activations**|Gil I. Shamir et.al.|[2202.06499v1](http://arxiv.org/abs/2202.06499v1)|null|
|**2022-02-14**|**Measuring "Why" in Recommender Systems: a Comprehensive Survey on the Evaluation of Explainable Recommendation**|Xu Chen et.al.|[2202.06466v1](http://arxiv.org/abs/2202.06466v1)|null|
|**2022-02-13**|**Incremental user embedding modeling for personalized text classification**|Ruixue Lian et.al.|[2202.06369v1](http://arxiv.org/abs/2202.06369v1)|null|
|**2022-02-13**|**Off-Policy Evaluation for Large Action Spaces via Embeddings**|Yuta Saito et.al.|[2202.06317v1](http://arxiv.org/abs/2202.06317v1)|null|
|**2022-02-13**|**A Tech Hybrid-Recommendation Engine and Personalized Notification: An integrated tool to assist users through Recommendations (Project ATHENA)**|Lordjette Leigh M. Lecaros et.al.|[2202.06248v1](http://arxiv.org/abs/2202.06248v1)|null|
|**2022-02-13**|**StoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child Interactive Storytelling with Flexible Parental Involvement**|Zheng Zhang et.al.|[2202.06205v1](http://arxiv.org/abs/2202.06205v1)|null|
|**2022-02-11**|**Choices, Risks, and Reward Reports: Charting Public Policy for Reinforcement Learning Systems**|Thomas Krendl Gilbert et.al.|[2202.05716v1](http://arxiv.org/abs/2202.05716v1)|null|
|**2022-02-11**|**NEAT: A Label Noise-resistant Complementary Item Recommender System with Trustworthy Evaluation**|Luyi Ma et.al.|[2202.05456v1](http://arxiv.org/abs/2202.05456v1)|null|
|**2022-02-10**|**FedAttack: Effective and Covert Poisoning Attack on Federated Recommendation via Hard Sampling**|Chuhan Wu et.al.|[2202.04975v1](http://arxiv.org/abs/2202.04975v1)|null|
|**2022-02-10**|**Collaborative Filtering with Attribution Alignment for Review-based Non-overlapped Cross Domain Recommendation**|Weiming Liu et.al.|[2202.04920v1](http://arxiv.org/abs/2202.04920v1)|null|
|**2022-02-10**|**Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation**|Chaochao Chen et.al.|[2202.04893v1](http://arxiv.org/abs/2202.04893v1)|null|
|**2022-02-10**|**A Model-Agnostic Causal Learning Framework for Recommendation using Search Data**|Zihua Si et.al.|[2202.04514v2](http://arxiv.org/abs/2202.04514v2)|**[link](https://github.com/ethan00si/instrumental-variables-for-recommendation)**|
|**2022-02-09**|**A.I. and Data-Driven Mobility at Volkswagen Financial Services AG**|Shayan Jawed et.al.|[2202.04411v1](http://arxiv.org/abs/2202.04411v1)|null|
|**2022-02-08**|**Using a Language Model in a Kiosk Recommender System at Fast-Food Restaurants**|Eduard Zubchuk et.al.|[2202.04145v1](http://arxiv.org/abs/2202.04145v1)|null|
|**2022-02-09**|**CausPref: Causal Preference Learning for Out-of-Distribution Recommendation**|Yue He et.al.|[2202.03984v2](http://arxiv.org/abs/2202.03984v2)|**[link](https://github.com/heyuethu/causpref)**|
|**2022-02-08**|**NxtPost: User to Post Recommendations in Facebook Groups**|Kaushik Rangadurai et.al.|[2202.03645v1](http://arxiv.org/abs/2202.03645v1)|null|
|**2022-02-11**|**Large-scale Personalized Video Game Recommendation via Social-aware Contextualized Graph Neural Network**|Liangwei Yang et.al.|[2202.03392v2](http://arxiv.org/abs/2202.03392v2)|null|
|**2022-02-07**|**Red Teaming Language Models with Language Models**|Ethan Perez et.al.|[2202.03286v1](http://arxiv.org/abs/2202.03286v1)|null|
|**2022-02-07**|**Bayesian Linear Bandits for Large-Scale Recommender Systems**|Saeed Ghoorchian et.al.|[2202.03167v1](http://arxiv.org/abs/2202.03167v1)|null|
|**2022-02-07**|**Conversational Agents: Theory and Applications**|Mattias Wahde et.al.|[2202.03164v1](http://arxiv.org/abs/2202.03164v1)|null|
|**2022-02-07**|**Learning Sound Localization Better From Semantically Similar Samples**|Arda Senocak et.al.|[2202.03007v1](http://arxiv.org/abs/2202.03007v1)|null|
|**2022-02-06**|**Discovering Personalized Semantics for Soft Attributes in Recommender Systems using Concept Activation Vectors**|Christina Göpfert et.al.|[2202.02830v1](http://arxiv.org/abs/2202.02830v1)|null|
|**2022-02-06**|**A Review of Modern Fashion Recommender Systems**|Yashar Deldjoo et.al.|[2202.02757v1](http://arxiv.org/abs/2202.02757v1)|null|
|**2022-02-06**|**How Effective is Incongruity? Implications for Code-mix Sarcasm Detection**|Aditya Shah et.al.|[2202.02702v1](http://arxiv.org/abs/2202.02702v1)|**[link](https://github.com/likemycode/codemix)**|
|**2022-02-06**|**Triangle Graph Interest Network for Click-through Rate Prediction**|Wensen Jiang et.al.|[2202.02698v1](http://arxiv.org/abs/2202.02698v1)|**[link](https://github.com/alibaba/tgin)**|
|**2022-02-08**|**LEAPMood: Light and Efficient Architecture to Predict Mood with Genetic Algorithm driven Hyperparameter Tuning**|Harichandana B S S et.al.|[2202.02522v2](http://arxiv.org/abs/2202.02522v2)|null|
|**2022-02-04**|**Voice-Based Conversational Agents for self-reporting fluid consumption and sleep quality**|Abdalsalam Almzayyen et.al.|[2202.02186v1](http://arxiv.org/abs/2202.02186v1)|null|
|**2022-02-04**|**OntoSeer -- A Recommendation System to Improve the Quality of Ontologies**|Pramit Bhattacharyya et.al.|[2202.02125v1](http://arxiv.org/abs/2202.02125v1)|**[link](https://github.com/kracr/ontoseer)**|
|**2022-02-03**|**Variance-Optimal Augmentation Logging for Counterfactual Evaluation in Contextual Bandits**|Aaron David Tucker et.al.|[2202.01721v1](http://arxiv.org/abs/2202.01721v1)|null|
|**2022-02-03**|**Measuring Disparate Outcomes of Content Recommendation Algorithms with Distributional Inequality Metrics**|Tomo Lazovich et.al.|[2202.01615v1](http://arxiv.org/abs/2202.01615v1)|null|
|**2022-02-03**|**Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model**|Haruka Kiyohara et.al.|[2202.01562v1](http://arxiv.org/abs/2202.01562v1)|**[link](https://github.com/aiueola/wsdm2022-cascade-dr)**|
|**2022-02-02**|**Recommendations for Visualization Recommendations: Exploring Preferences and Priorities in Public Health**|Calvin Bao et.al.|[2202.01335v1](http://arxiv.org/abs/2202.01335v1)|null|
|**2022-02-02**|**A Recommender System Based on a Double Feature Allocation Model**|Qiaohui Lin et.al.|[2202.01163v1](http://arxiv.org/abs/2202.01163v1)|null|
|**2022-02-01**|**Context Uncertainty in Contextual Bandits with Applications to Recommender Systems**|Hao Wang et.al.|[2202.00805v1](http://arxiv.org/abs/2202.00805v1)|null|
|**2022-02-01**|**Rewiring What-to-Watch-Next Recommendations to Reduce Radicalization Pathways**|Francesco Fabbri et.al.|[2202.00640v1](http://arxiv.org/abs/2202.00640v1)|null|
|**2022-01-31**|**SUGAR: Efficient Subgraph-level Training via Resource-aware Graph Partitioning**|Zihui Xue et.al.|[2202.00075v1](http://arxiv.org/abs/2202.00075v1)|null|
|**2022-01-28**|**Hyper-Class Representation of Data**|Shichao Zhang et.al.|[2201.13317v1](http://arxiv.org/abs/2201.13317v1)|null|
|**2022-01-27**|**Efficiently Maintaining Next Basket Recommendations under Additions and Deletions of Baskets and Items**|Benjamin Longxiang Wang et.al.|[2201.13313v1](http://arxiv.org/abs/2201.13313v1)|**[link](https://github.com/0xeeff/amnesiac_recsys)**|
|**2022-01-30**|**Coordinated Attacks against Contextual Bandits: Fundamental Limits and Defense Mechanisms**|Jeongyeol Kwon et.al.|[2201.12700v1](http://arxiv.org/abs/2201.12700v1)|null|
|**2022-01-29**|**Robustness of Deep Recommendation Systems to Untargeted Interaction Perturbations**|Sejoon Oh et.al.|[2201.12686v1](http://arxiv.org/abs/2201.12686v1)|null|
|**2022-02-01**|**Recommender System Expedited Quantum Control Optimization**|Priya Batra et.al.|[2201.12550v2](http://arxiv.org/abs/2201.12550v2)|null|
|**2022-01-28**|**An Empirical Investigation of Personalization Factors on TikTok**|Maximilian Boeker et.al.|[2201.12271v1](http://arxiv.org/abs/2201.12271v1)|**[link](https://github.com/mboeke/tiktok-personalization-investigation)**|
|**2022-01-28**|**Dynamic pricing and discounts by means of interactive presentation systems in stationary point of sales**|Marcin Lewicki et.al.|[2201.12026v1](http://arxiv.org/abs/2201.12026v1)|null|
|**2022-01-28**|**Consistent Collaborative Filtering via Tensor Decomposition**|Shiwen Zhao et.al.|[2201.11936v1](http://arxiv.org/abs/2201.11936v1)|null|
|**2022-01-26**|**Recency Dropout for Recurrent Recommender Systems**|Bo Chang et.al.|[2201.11016v1](http://arxiv.org/abs/2201.11016v1)|null|
|**2022-01-31**|**Graph Neural Networks with Dynamic and Static Representations for Social Recommendation**|Junfa Lin et.al.|[2201.10751v2](http://arxiv.org/abs/2201.10751v2)|null|
|**2022-01-25**|**Explainability in Music Recommender Systems**|Darius Afchar et.al.|[2201.10528v1](http://arxiv.org/abs/2201.10528v1)|null|
|**2022-01-24**|**On-Device Learning with Cloud-Coordinated Data Augmentation for Extreme Model Personalization in Recommender Systems**|Renjie Gu et.al.|[2201.10382v1](http://arxiv.org/abs/2201.10382v1)|null|
|**2022-01-25**|**Chatbots and messaging platforms in the classroom: an analysis from the teacher's perspective**|J. J. Merelo et.al.|[2201.10289v1](http://arxiv.org/abs/2201.10289v1)|**[link](https://github.com/JJ/edubots-paper)**|
|**2022-01-25**|**Diversity in the Music Listening Experience: Insights from Focus Group Interviews**|Lorenzo Porcaro et.al.|[2201.10249v1](http://arxiv.org/abs/2201.10249v1)|null|
|**2022-01-24**|**Dual Preference Distribution Learning for Item Recommendation**|Xue Dong et.al.|[2201.09490v1](http://arxiv.org/abs/2201.09490v1)|null|
|**2022-01-23**|**An integrated recurrent neural network and regression model with spatial and climatic couplings for vector-borne disease dynamics**|Zhijian Li et.al.|[2201.09394v1](http://arxiv.org/abs/2201.09394v1)|null|
|**2022-01-23**|**Reinforcement Routing on Proximity Graph for Efficient Recommendation**|Chao Feng et.al.|[2201.09290v1](http://arxiv.org/abs/2201.09290v1)|null|
|**2022-01-23**|**Learning to Minimize the Remainder in Supervised Learning**|Yan Luo et.al.|[2201.09193v1](http://arxiv.org/abs/2201.09193v1)|**[link](https://github.com/luoyan407/gradient_adjustment)**|
|**2022-01-22**|**Leaf: Multiple-Choice Question Generation**|Kristiyan Vachev et.al.|[2201.09012v1](http://arxiv.org/abs/2201.09012v1)|**[link](https://github.com/kristiyanvachev/leaf-question-generation)**|
|**2022-01-21**|**Improved Random Features for Dot Product Kernels**|Jonas Wacker et.al.|[2201.08712v1](http://arxiv.org/abs/2201.08712v1)|null|
|**2022-01-21**|**Text Style Transfer for Bias Mitigation using Masked Language Modeling**|Ewoenam Kwaku Tokpo et.al.|[2201.08643v1](http://arxiv.org/abs/2201.08643v1)|null|
|**2022-01-21**|**Consumer Fairness in Recommender Systems: Contextualizing Definitions and Mitigations**|Ludovico Boratto et.al.|[2201.08614v1](http://arxiv.org/abs/2201.08614v1)|**[link](https://github.com/jackmedda/c-fairness-recsys)**|
|**2022-01-21**|**LRSVRG-IMC: An SVRG-Based Algorithm for LowRank Inductive Matrix Completion**|Shangrong Yu et.al.|[2201.08516v1](http://arxiv.org/abs/2201.08516v1)|null|
|**2022-01-20**|**k-Pareto Optimality-Based Sorting with Maximization of Choice**|Jean Ruppert et.al.|[2201.08206v1](http://arxiv.org/abs/2201.08206v1)|null|
|**2022-01-20**|**Providing Upgrade Plans for Third-party Libraries: A Recommender System using Migration Graphs**|Riccardo Rubei et.al.|[2201.08201v1](http://arxiv.org/abs/2201.08201v1)|null|
|**2022-01-20**|**GAN-based Matrix Factorization for Recommender Systems**|Ervin Dervishaj et.al.|[2201.08042v1](http://arxiv.org/abs/2201.08042v1)|**[link](https://github.com/edervishaj/ganmf)**|
|**2022-01-19**|**Learning to Rank For Push Notifications Using Pairwise Expected Regret**|Yuguang Yue et.al.|[2201.07681v1](http://arxiv.org/abs/2201.07681v1)|null|
|**2022-01-19**|**Batch versus Sequential Active Learning for Recommender Systems**|Toon De Pessemier et.al.|[2201.07571v1](http://arxiv.org/abs/2201.07571v1)|null|
|**2022-01-19**|**Multiway Spherical Clustering via Degree-Corrected Tensor Block Models**|Jiaxin Hu et.al.|[2201.07401v1](http://arxiv.org/abs/2201.07401v1)|null|
|**2022-01-18**|**Emergent Instabilities in Algorithmic Feedback Loops**|Keith Burghardt et.al.|[2201.07203v1](http://arxiv.org/abs/2201.07203v1)|**[link](https://github.com/KeithBurghardt/RecSim)**|
|**2022-01-18**|**Recommendation Unlearning**|Chong Chen et.al.|[2201.06820v1](http://arxiv.org/abs/2201.06820v1)|null|
|**2022-01-18**|**Dialog Intent Induction via Density-based Deep Clustering Ensemble**|Jiashu Pu et.al.|[2201.06731v1](http://arxiv.org/abs/2201.06731v1)|null|
|**2022-01-18**|**Causal Analysis Framework for Recommendation**|Peng Wu et.al.|[2201.06716v1](http://arxiv.org/abs/2201.06716v1)|null|
|**2022-01-17**|**A Literature Survey of Recent Advances in Chatbots**|Guendalina Caldarini et.al.|[2201.06657v1](http://arxiv.org/abs/2201.06657v1)|null|
|**2022-01-17**|**Chatbot System Architecture**|Moataz Mohammed et.al.|[2201.06348v1](http://arxiv.org/abs/2201.06348v1)|null|
|**2022-01-17**|**Exploit Customer Life-time Value with Memoryless Experiments**|Zizhao Zhang et.al.|[2201.06254v1](http://arxiv.org/abs/2201.06254v1)|null|
|**2022-01-17**|**Unintended Bias in Language Model-drivenConversational Recommendation**|Tianshu Shen et.al.|[2201.06224v1](http://arxiv.org/abs/2201.06224v1)|null|
|**2022-01-16**|**Doing More with Less: Overcoming Data Scarcity for POI Recommendation via Cross-Region Transfer**|Vinayak Gupta et.al.|[2201.06095v1](http://arxiv.org/abs/2201.06095v1)|null|
|**2022-01-16**|**Debiased Recommendation with User Feature Balancing**|Mengyue Yang et.al.|[2201.06056v1](http://arxiv.org/abs/2201.06056v1)|null|
|**2022-01-14**|**Mental Health Assessment for the Chatbots**|Yong Shan et.al.|[2201.05382v1](http://arxiv.org/abs/2201.05382v1)|null|
|**2022-01-12**|**Proceedings of the 4th Workshop on Online Recommender Systems and User Modeling -- ORSUM 2021**|João Vinagre et.al.|[2201.05156v1](http://arxiv.org/abs/2201.05156v1)|null|
|**2022-01-13**|**REST: Debiased Social Recommendation via Reconstructing Exposure Strategies**|Ruichu Cai et.al.|[2201.04952v1](http://arxiv.org/abs/2201.04952v1)|**[link](https://github.com/dmirlab-group/rest)**|
|**2022-01-13**|**On Sampling Collaborative Filtering Datasets**|Noveen Sachdeva et.al.|[2201.04768v1](http://arxiv.org/abs/2201.04768v1)|**[link](https://github.com/noveens/sampling_cf)**|
|**2022-01-12**|**RGRecSys: A Toolkit for Robustness Evaluation of Recommender Systems**|Zohreh Ovaisi et.al.|[2201.04399v1](http://arxiv.org/abs/2201.04399v1)|**[link](https://github.com/salesforce/rgrecsys)**|
|**2022-01-10**|**Resource recommender system performance improvement by exploring similar tags and detecting tags communities**|Zeinab Shokrzadeh et.al.|[2201.03622v1](http://arxiv.org/abs/2201.03622v1)|null|
|**2022-01-10**|**Leveraging Social Influence based on Users Activity Centers for Point-of-Interest Recommendation**|Kosar Seyedhoseinzadeh et.al.|[2201.03450v1](http://arxiv.org/abs/2201.03450v1)|**[link](https://github.com/seyedhosseinzadeh/sucp)**|
|**2022-01-10**|**Empirical study on BlenderBot 2.0 Errors Analysis in terms of Model, Data and User-Centric Approach**|Jungseob Lee et.al.|[2201.03239v1](http://arxiv.org/abs/2201.03239v1)|null|
|**2022-01-10**|**Collaborative Reflection-Augmented Autoencoder Network for Recommender Systems**|Lianghao Xia et.al.|[2201.03158v1](http://arxiv.org/abs/2201.03158v1)|**[link](https://github.com/akaxlh/cranet)**|
|**2022-01-10**|**Supervised Contrastive Learning for Recommendation**|Chun Yang et.al.|[2201.03144v1](http://arxiv.org/abs/2201.03144v1)|null|
|**2022-01-09**|**Projection: A Mixed-Initiative Research Process**|Austin Silveria et.al.|[2201.03107v1](http://arxiv.org/abs/2201.03107v1)|null|
|**2022-01-07**|**Multi-Behavior Enhanced Recommendation with Cross-Interaction Collaborative Relation Modeling**|Lianghao Xia et.al.|[2201.02307v1](http://arxiv.org/abs/2201.02307v1)|**[link](https://github.com/akaxlh/gnmr)**|
## Knowledge Graph
|Publish Date|Title|Authors|PDF|Code|
|---|---|---|---|---|
|**2022-04-11**|**HAKG: Hierarchy-Aware Knowledge Gated Network for Recommendation**|Yuntao Du et.al.|[2204.04959v1](http://arxiv.org/abs/2204.04959v1)|**[link](https://github.com/scottdyt/hakg)**|
|**2022-04-11**|**Knowledge Graph and Accurate Portrait Construction of Scientific and Technological Academic Conferences**|Runyu Yu et.al.|[2204.04888v1](http://arxiv.org/abs/2204.04888v1)|null|
|**2022-04-11**|**Accurate Portraits of Scientific Resources and Knowledge Service Components**|Yue Wang et.al.|[2204.04883v1](http://arxiv.org/abs/2204.04883v1)|null|
|**2022-04-10**|**Temporal Knowledge Graph Reasoning with Low-rank and Model-agnostic Representations**|Ioannis Dikeoulias et.al.|[2204.04783v1](http://arxiv.org/abs/2204.04783v1)|**[link](https://github.com/iodike/chronokge)**|
|**2022-04-10**|**MedDistant19: A Challenging Benchmark for Distantly Supervised Biomedical Relation Extraction**|Saadullah Amin et.al.|[2204.04779v1](http://arxiv.org/abs/2204.04779v1)|**[link](https://github.com/suamin/meddistant19)**|
|**2022-04-10**|**A review of knowledge graph application scenarios in cyber security**|Kai Liu et.al.|[2204.04769v1](http://arxiv.org/abs/2204.04769v1)|null|
|**2022-04-09**|**Modeling Multi-Granularity Hierarchical Features for Relation Extraction**|Xinnian Liang et.al.|[2204.04437v1](http://arxiv.org/abs/2204.04437v1)|**[link](https://github.com/xnliang98/sms)**|
|**2022-04-08**|**KCD: Knowledge Walks and Textual Cues Enhanced Political Perspective Detection in News Media**|Wenqian Zhang et.al.|[2204.04046v1](http://arxiv.org/abs/2204.04046v1)|null|
|**2022-04-08**|**Ontology Matching Through Absolute Orientation of Embedding Spaces**|Jan Portisch et.al.|[2204.04040v1](http://arxiv.org/abs/2204.04040v1)|**[link](https://github.com/guilhermesfc/ontology-matching-absolute-orientation)**|
|**2022-04-11**|**Blockchain as an Enabler for Transfer Learning in Smart Environments**|Amin Anjomshoaa et.al.|[2204.03959v2](http://arxiv.org/abs/2204.03959v2)|null|
|**2022-04-05**|**Walk this Way! Entity Walks and Property Walks for RDF2vec**|Jan Portisch et.al.|[2204.02777v1](http://arxiv.org/abs/2204.02777v1)|null|
|**2022-04-06**|**C3KG: A Chinese Commonsense Conversation Knowledge Graph**|Dawei Li et.al.|[2204.02549v1](http://arxiv.org/abs/2204.02549v1)|null|
|**2022-04-04**|**MetaAID: A Flexible Framework for Developing Metaverse Applications via AI Technology and Human Editing**|Hongyin Zhu et.al.|[2204.01614v1](http://arxiv.org/abs/2204.01614v1)|null|
|**2022-04-03**|**Virtual Relational Knowledge Graphs for Recommendation**|Lingyun Lu et.al.|[2204.01089v1](http://arxiv.org/abs/2204.01089v1)|null|
|**2022-04-02**|**Transformer-Empowered Content-Aware Collaborative Filtering**|Weizhe Lin et.al.|[2204.00849v1](http://arxiv.org/abs/2204.00849v1)|null|
|**2022-04-01**|**From Data to Knowledge Graphs: A Multi-Layered Method to Model User's Visual Analytics Workflow for Analytical Purposes**|Leonardo Christino et.al.|[2204.00585v1](http://arxiv.org/abs/2204.00585v1)|null|
|**2022-04-01**|**Automatic Biomedical Term Clustering by Learning Fine-grained Term Representations**|Sihang Zeng et.al.|[2204.00391v1](http://arxiv.org/abs/2204.00391v1)|**[link](https://github.com/GanjinZero/CODER)**|
|**2022-03-28**|**Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment**|Zijie Huang et.al.|[2203.14987v1](http://arxiv.org/abs/2203.14987v1)|null|
|**2022-03-28**|**WawPart: Workload-Aware Partitioning of Knowledge Graphs**|Amitabh Priyadarshi et.al.|[2203.14888v1](http://arxiv.org/abs/2203.14888v1)|null|
|**2022-03-28**|**AWAPart: Adaptive Workload-Aware Partitioning of Knowledge Graphs**|Amitabh Priyadarshi et.al.|[2203.14884v1](http://arxiv.org/abs/2203.14884v1)|null|
|**2022-03-28**|**Hierarchical Transformer Model for Scientific Named Entity Recognition**|Urchade Zaratiana et.al.|[2203.14710v1](http://arxiv.org/abs/2203.14710v1)|**[link](https://github.com/urchade/hner)**|
|**2022-03-28**|**Enriching Scholarly Knowledge with Context**|Muhammad Haris et.al.|[2203.14617v1](http://arxiv.org/abs/2203.14617v1)|null|
|**2022-03-28**|**Computer Science Named Entity Recognition in the Open Research Knowledge Graph**|Jennifer D'Souza et.al.|[2203.14579v1](http://arxiv.org/abs/2203.14579v1)|**[link](https://github.com/jd-coderepos/contributions-ner-cs)**|
|**2022-03-28**|**The Digitalization of Bioassays in the Open Research Knowledge Graph**|Jennifer D'Souza et.al.|[2203.14574v1](http://arxiv.org/abs/2203.14574v1)|null|
|**2022-03-27**|**BARCOR: Towards A Unified Framework for Conversational Recommendation Systems**|Ting-Chun Wang et.al.|[2203.14257v1](http://arxiv.org/abs/2203.14257v1)|null|
|**2022-03-26**|**AutoTS: Automatic Time Series Forecasting Model Design Based on Two-Stage Pruning**|Chunnan Wang et.al.|[2203.14169v1](http://arxiv.org/abs/2203.14169v1)|null|
|**2022-03-26**|**Augmenting Knowledge Graphs for Better Link Prediction**|Jiang Wang et.al.|[2203.13965v1](http://arxiv.org/abs/2203.13965v1)|null|
|**2022-03-25**|**Biolink Model: A Universal Schema for Knowledge Graphs in Clinical, Biomedical, and Translational Science**|Deepak R. Unni et.al.|[2203.13906v1](http://arxiv.org/abs/2203.13906v1)|null|
|**2022-03-25**|**Improving Question Answering over Knowledge Graphs Using Graph Summarization**|Sirui Li et.al.|[2203.13570v1](http://arxiv.org/abs/2203.13570v1)|null|
|**2022-03-24**|**Duality-Induced Regularizer for Semantic Matching Knowledge Graph Embeddings**|Jie Wang et.al.|[2203.12949v1](http://arxiv.org/abs/2203.12949v1)|null|
|**2022-03-22**|**Learning Relation-Specific Representations for Few-shot Knowledge Graph Completion**|Yuling Li et.al.|[2203.11639v1](http://arxiv.org/abs/2203.11639v1)|null|
|**2022-03-21**|**Relevant CommonSense Subgraphs for "What if..." Procedural Reasoning**|Chen Zheng et.al.|[2203.11187v1](http://arxiv.org/abs/2203.11187v1)|**[link](https://github.com/hlr/mrrg)**|
|**2022-03-20**|**Towards Large-Scale Interpretable Knowledge Graph Reasoning for Dialogue Systems**|Yi-Lin Tuan et.al.|[2203.10610v1](http://arxiv.org/abs/2203.10610v1)|null|
|**2022-03-19**|**Sequence-to-Sequence Knowledge Graph Completion and Question Answering**|Apoorv Saxena et.al.|[2203.10321v1](http://arxiv.org/abs/2203.10321v1)|**[link](https://github.com/apoorvumang/kgt5)**|
|**2022-03-18**|**BIOS: An Algorithmically Generated Biomedical Knowledge Graph**|Sheng Yu et.al.|[2203.09975v1](http://arxiv.org/abs/2203.09975v1)|null|
|**2022-03-21**|**Enhanced Temporal Knowledge Embeddings with Contextualized Language Representations**|Zhen Han et.al.|[2203.09590v2](http://arxiv.org/abs/2203.09590v2)|null|
|**2022-03-17**|**Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation**|Kai Zhang et.al.|[2203.09553v1](http://arxiv.org/abs/2203.09553v1)|**[link](https://github.com/taokz/FedR)**|
|**2022-03-19**|**Context-Dependent Anomaly Detection with Knowledge Graph Embedding Models**|Nathan Vaska et.al.|[2203.09354v2](http://arxiv.org/abs/2203.09354v2)|null|
|**2022-03-17**|**Knowledge Graph Embedding Methods for Entity Alignment: An Experimental Review**|Nikolaos Fanourakis et.al.|[2203.09280v1](http://arxiv.org/abs/2203.09280v1)|**[link](https://github.com/fanourakis/experimental-review-ea)**|
|**2022-03-17**|**Centrality Measures in multi-layer Knowledge Graphs**|Jens Dörpinghaus et.al.|[2203.09219v1](http://arxiv.org/abs/2203.09219v1)|null|
|**2022-03-17**|**EMAKG: An Enhanced Version Of The Microsoft Academic Knowledge Graph**|Laura Pollacci et.al.|[2203.09159v1](http://arxiv.org/abs/2203.09159v1)|null|
|**2022-03-17**|**Knowledge Graph-Enabled Text-Based Automatic Personality Prediction**|Majid Ramezani et.al.|[2203.09103v1](http://arxiv.org/abs/2203.09103v1)|null|
|**2022-03-16**|**Multimodal Learning on Graphs for Disease Relation Extraction**|Yucong Lin et.al.|[2203.08893v1](http://arxiv.org/abs/2203.08893v1)|**[link](https://github.com/lukeming-tsinghua/remod)**|
|**2022-03-16**|**TegTok: Augmenting Text Generation via Task-specific and Open-world Knowledge**|Chao-Hong Tan et.al.|[2203.08517v1](http://arxiv.org/abs/2203.08517v1)|**[link](https://github.com/lxchtan/tegtok)**|
|**2022-03-16**|**Personal Knowledge Graphs: Use Cases in e-learning Platforms**|Eleni Ilkou et.al.|[2203.08507v1](http://arxiv.org/abs/2203.08507v1)|null|
|**2022-03-17**|**RotateQVS: Representing Temporal Information as Rotations in Quaternion Vector Space for Temporal Knowledge Graph Completion**|Kai Chen et.al.|[2203.07993v2](http://arxiv.org/abs/2203.07993v2)|null|
|**2022-03-17**|**Threat Detection for General Social Engineering Attack Using Machine Learning Techniques**|Zuoguang Wang et.al.|[2203.07933v2](http://arxiv.org/abs/2203.07933v2)|null|
|**2022-03-15**|**Complex Evolutional Pattern Learning for Temporal Knowledge Graph Reasoning**|Zixuan Li et.al.|[2203.07782v1](http://arxiv.org/abs/2203.07782v1)|null|
|**2022-03-14**|**A Unified Framework for Rank-based Evaluation Metrics for Link Prediction in Knowledge Graphs**|Charles Tapley Hoyt et.al.|[2203.07544v1](http://arxiv.org/abs/2203.07544v1)|**[link](https://github.com/pykeen/ranking-metrics-manuscript)**|
|**2022-03-14**|**Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts**|Wenhao Yu et.al.|[2203.07285v1](http://arxiv.org/abs/2203.07285v1)|**[link](https://github.com/DM2-ND/MoKGE)**|
|**2022-03-14**|**Neural Theorem Provers Delineating Search Area Using RNN**|Yu-hao Wu et.al.|[2203.06985v1](http://arxiv.org/abs/2203.06985v1)|null|
|**2022-03-14**|**WCL-BBCD: A Contrastive Learning and Knowledge Graph Approach to Named Entity Recognition**|Renjie Zhou et.al.|[2203.06925v1](http://arxiv.org/abs/2203.06925v1)|null|
|**2022-03-13**|**Reinforced Imitative Graph Learning for Mobile User Profiling**|Dongjie Wang et.al.|[2203.06550v1](http://arxiv.org/abs/2203.06550v1)|null|
|**2022-03-12**|**G2GML: Graph to Graph Mapping Language for Bridging RDF and Property Graphs**|Hirokazu Chiba et.al.|[2203.06393v1](http://arxiv.org/abs/2203.06393v1)|null|
|**2022-03-12**|**Ensemble Semi-supervised Entity Alignment via Cycle-teaching**|Kexuan Xin et.al.|[2203.06308v1](http://arxiv.org/abs/2203.06308v1)|**[link](https://github.com/jadexin/cyctea)**|
|**2022-03-11**|**Towards Analyzing the Bias of News Recommender Systems Using Sentiment and Stance Detection**|Mehwish Alam et.al.|[2203.05824v1](http://arxiv.org/abs/2203.05824v1)|null|
|**2022-03-11**|**Semi-constraint Optimal Transport for Entity Alignment with Dangling Cases**|Shengxuan Luo et.al.|[2203.05744v1](http://arxiv.org/abs/2203.05744v1)|null|
|**2022-03-10**|**OneRel:Joint Entity and Relation Extraction with One Module in One Step**|Yu-Ming Shang et.al.|[2203.05412v1](http://arxiv.org/abs/2203.05412v1)|null|
|**2022-03-10**|**An Accurate Unsupervised Method for Joint Entity Alignment and Dangling Entity Detection**|Shengxuan Luo et.al.|[2203.05147v1](http://arxiv.org/abs/2203.05147v1)|null|
|**2022-03-09**|**Language Model-driven Negative Sampling**|Mirza Mohtashim Alam et.al.|[2203.04703v1](http://arxiv.org/abs/2203.04703v1)|null|
|**2022-03-09**|**ModulE: Module Embedding for Knowledge Graphs**|Jingxuan Chai et.al.|[2203.04702v1](http://arxiv.org/abs/2203.04702v1)|null|
|**2022-03-09**|**Aggregate Queries on Knowledge Graphs: Fast Approximation with Semantic-aware Sampling**|Yuxiang Wang et.al.|[2203.03792v2](http://arxiv.org/abs/2203.03792v2)|null|
|**2022-03-05**|**Flurry: a Fast Framework for Reproducible Multi-layered Provenance Graph Representation Learning**|Maya Kapoor et.al.|[2203.02744v1](http://arxiv.org/abs/2203.02744v1)|null|
|**2022-03-05**|**Scaling R-GCN Training with Graph Summarization**|Alessandro Generale et.al.|[2203.02622v1](http://arxiv.org/abs/2203.02622v1)|null|
|**2022-03-04**|**R-GCN: The R Could Stand for Random**|Vic Degraeve et.al.|[2203.02424v1](http://arxiv.org/abs/2203.02424v1)|null|
|**2022-03-04**|**SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained Language Models**|Liang Wang et.al.|[2203.02167v1](http://arxiv.org/abs/2203.02167v1)|**[link](https://github.com/intfloat/simkgc)**|
|**2022-03-04**|**Time-aware Graph Neural Networks for Entity Alignment between Temporal Knowledge Graphs**|Chengjin_Xu et.al.|[2203.02150v1](http://arxiv.org/abs/2203.02150v1)|**[link](https://github.com/soledad921/tea-gnn)**|
|**2022-03-03**|**Adaptive Local-Global Relational Network for Facial Action Units Recognition and Facial Paralysis Estimation**|Xuri Ge et.al.|[2203.01800v1](http://arxiv.org/abs/2203.01800v1)|null|
|**2022-03-03**|**An Open Challenge for Inductive Link Prediction on Knowledge Graphs**|Mikhail Galkin et.al.|[2203.01520v1](http://arxiv.org/abs/2203.01520v1)|**[link](https://github.com/pykeen/ilpc2022)**|
|**2022-03-02**|**Pattern Recognition and Event Detection on IoT Data-streams**|Christos Karras et.al.|[2203.01114v1](http://arxiv.org/abs/2203.01114v1)|null|
|**2022-03-02**|**SelfKG: Self-Supervised Entity Alignment in Knowledge Graphs**|Xiao Liu et.al.|[2203.01044v1](http://arxiv.org/abs/2203.01044v1)|**[link](https://github.com/THUDM/SelfKG)**|
|**2022-03-02**|**TableFormer: Table Structure Understanding with Transformers**|Ahmed Nassar et.al.|[2203.01017v1](http://arxiv.org/abs/2203.01017v1)|null|
|**2022-03-02**|**PKGM: A Pre-trained Knowledge Graph Model for E-commerce Application**|Wen Zhang et.al.|[2203.00964v1](http://arxiv.org/abs/2203.00964v1)|null|
|**2022-03-01**|**Dual Embodied-Symbolic Concept Representations for Deep Learning**|Daniel T. Chang et.al.|[2203.00600v1](http://arxiv.org/abs/2203.00600v1)|null|
|**2022-03-01**|**Improving Time Sensitivity for Question Answering over Temporal Knowledge Graphs**|Chao Shang et.al.|[2203.00255v1](http://arxiv.org/abs/2203.00255v1)|null|
|**2022-02-25**|**CAKE: A Scalable Commonsense-Aware Framework For Multi-View Knowledge Graph Completion**|Guanglin Niu et.al.|[2202.13785v1](http://arxiv.org/abs/2202.13785v1)|null|
|**2022-02-27**|**Concept Graph Neural Networks for Surgical Video Understanding**|Yutong Ban et.al.|[2202.13402v1](http://arxiv.org/abs/2202.13402v1)|null|
|**2022-02-25**|**NeuralKG: An Open Source Library for Diverse Representation Learning of Knowledge Graphs**|Wen Zhang et.al.|[2202.12571v1](http://arxiv.org/abs/2202.12571v1)|**[link](https://github.com/zjukg/neuralkg)**|
|**2022-02-24**|**Cognitive Semantic Communication Systems Driven by Knowledge Graph**|Fuhui Zhou et.al.|[2202.11958v1](http://arxiv.org/abs/2202.11958v1)|null|
|**2022-02-23**|**From Unstructured Text to Causal Knowledge Graphs: A Transformer-Based Approach**|Scott Friedman et.al.|[2202.11768v1](http://arxiv.org/abs/2202.11768v1)|null|
|**2022-02-23**|**Prompt-Learning for Short Text Classification**|Yi Zhu et.al.|[2202.11345v1](http://arxiv.org/abs/2202.11345v1)|null|
|**2022-02-23**|**Web of Scholars: A Scholar Knowledge Graph**|Jiaying Liu et.al.|[2202.11311v1](http://arxiv.org/abs/2202.11311v1)|null|
|**2022-02-22**|**Knowledge Base Question Answering by Case-based Reasoning over Subgraphs**|Rajarshi Das et.al.|[2202.10610v1](http://arxiv.org/abs/2202.10610v1)|null|
|**2022-02-18**|**Unleashing the Power of Transformer for Graphs**|Lingbing Guo et.al.|[2202.10581v1](http://arxiv.org/abs/2202.10581v1)|null|
|**2022-02-21**|**Rule Mining over Knowledge Graphs via Reinforcement Learning**|Lihan Chen et.al.|[2202.10381v1](http://arxiv.org/abs/2202.10381v1)|null|
|**2022-02-21**|**Dynamic Relation Repairing for Knowledge Enhancement**|Rui Kang et.al.|[2202.10141v1](http://arxiv.org/abs/2202.10141v1)|null|
|**2022-02-20**|**PGE: Robust Product Graph Embedding Learning for Error Detection**|Kewei Cheng et.al.|[2202.09747v1](http://arxiv.org/abs/2202.09747v1)|null|
|**2022-02-19**|**MixKG: Mixing for harder negative samples in knowledge graph**|Feihu Che et.al.|[2202.09606v1](http://arxiv.org/abs/2202.09606v1)|null|
|**2022-02-19**|**Distributed non-negative RESCAL with Automatic Model Selection for Exascale Data**|Manish Bhattarai et.al.|[2202.09512v1](http://arxiv.org/abs/2202.09512v1)|null|
|**2022-02-18**|**Geometric Algebra based Embeddings for Staticand Temporal Knowledge Graph Completion**|Chengjin Xu et.al.|[2202.09464v1](http://arxiv.org/abs/2202.09464v1)|null|
|**2022-02-18**|**Identifying the Adoption or Rejection of Misinformation Targeting COVID-19 Vaccines in Twitter Discourse**|Maxwell Weinzierl et.al.|[2202.09445v1](http://arxiv.org/abs/2202.09445v1)|**[link](https://github.com/supermaxman/covid19-vaccine-nlp)**|
|**2022-02-18**|**How to Manage Tiny Machine Learning at Scale: An Industrial Perspective**|Haoyu Ren et.al.|[2202.09113v1](http://arxiv.org/abs/2202.09113v1)|**[link](https://github.com/haoyu-r/how-to-manage-tinyml-at-scale)**|
|**2022-02-17**|**Discovering Fine-Grained Semantics in Knowledge Graph Relations**|Nitisha Jain et.al.|[2202.08917v1](http://arxiv.org/abs/2202.08917v1)|null|
|**2022-02-17**|**Mining On Alzheimer's Diseases Related Knowledge Graph to Identity Potential AD-related Semantic Triples for Drug Repurposing**|Yi Nian et.al.|[2202.08712v1](http://arxiv.org/abs/2202.08712v1)|null|
|**2022-02-17**|**AKB-48: A Real-World Articulated Object Knowledge Base**|Liu Liu et.al.|[2202.08432v1](http://arxiv.org/abs/2202.08432v1)|null|
|**2022-02-16**|**TorchDrug: A Powerful and Flexible Machine Learning Platform for Drug Discovery**|Zhaocheng Zhu et.al.|[2202.08320v1](http://arxiv.org/abs/2202.08320v1)|null|
|**2022-02-16**|**HousE: Knowledge Graph Embedding with Householder Parameterization**|Rui Li et.al.|[2202.07919v1](http://arxiv.org/abs/2202.07919v1)|**[link](https://github.com/anrep/house)**|
|**2022-02-16**|**EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs**|Namyong Park et.al.|[2202.07648v2](http://arxiv.org/abs/2202.07648v2)|null|
|**2022-02-15**|**Knowledge Graph Reasoning with Logics and Embeddings: Survey and Perspective**|Wen Zhang et.al.|[2202.07412v1](http://arxiv.org/abs/2202.07412v1)|null|
|**2022-02-15**|**STaR: Knowledge Graph Embedding by Scaling, Translation and Rotation**|Jiayi Li et.al.|[2202.07130v1](http://arxiv.org/abs/2202.07130v1)|null|
|**2022-02-14**|**Learning to Discover Medicines**|Tri Minh Nguyen et.al.|[2202.07096v1](http://arxiv.org/abs/2202.07096v1)|null|
|**2022-02-13**|**On the Relationship between Shy and Warded Datalog+/-**|Teodoro Baldazzi et.al.|[2202.06285v1](http://arxiv.org/abs/2202.06285v1)|null|
|**2022-02-11**|**Multi-Modal Knowledge Graph Construction and Application: A Survey**|Xiangru Zhu et.al.|[2202.05786v1](http://arxiv.org/abs/2202.05786v1)|null|
|**2022-02-08**|**Rethinking Graph Convolutional Networks in Knowledge Graph Completion**|Zhanqiu Zhang et.al.|[2202.05679v1](http://arxiv.org/abs/2202.05679v1)|**[link](https://github.com/miralab-ustc/gcn4kgc)**|
|**2022-02-11**|**TwHIN: Embedding the Twitter Heterogeneous Information Network for Personalized Recommendation**|Ahmed El-Kishky et.al.|[2202.05387v1](http://arxiv.org/abs/2202.05387v1)|null|
|**2022-02-10**|**Complexity of Arithmetic in Warded Datalog+-**|Lucas Berent et.al.|[2202.05086v1](http://arxiv.org/abs/2202.05086v1)|null|
|**2022-02-10**|**InterHT: Knowledge Graph Embeddings by Interaction between Head and Tail Entities**|Baoxin Wang et.al.|[2202.04897v1](http://arxiv.org/abs/2202.04897v1)|null|
|**2022-02-08**|**Computing Rule-Based Explanations of Machine Learning Classifiers using Knowledge Graphs**|Edmund Dervakos et.al.|[2202.03971v1](http://arxiv.org/abs/2202.03971v1)|null|
|**2022-02-01**|**FisrEbp: Enterprise Bankruptcy Prediction via Fusing its Intra-risk and Spillover-Risk**|Yu Zhao et.al.|[2202.03874v1](http://arxiv.org/abs/2202.03874v1)|null|
|**2022-02-08**|**MetaKG: Meta-learning on Knowledge Graph for Cold-start Recommendation**|Yuntao Du et.al.|[2202.03851v1](http://arxiv.org/abs/2202.03851v1)|**[link](https://github.com/zju-dbl/metakg)**|
|**2022-02-07**|**Towards Loosely-Coupling Knowledge Graph Embeddings and Ontology-based Reasoning**|Zoi Kaoudi et.al.|[2202.03173v1](http://arxiv.org/abs/2202.03173v1)|null|
|**2022-02-08**|**From Discrimination to Generation: Knowledge Graph Completion with Generative Transformer**|Xin Xie et.al.|[2202.02113v2](http://arxiv.org/abs/2202.02113v2)|**[link](https://github.com/zjunlp/promptkgc)**|
|**2022-02-04**|**Urban Region Profiling via A Multi-Graph Representation Learning Framework**|Y. Luo et.al.|[2202.02074v1](http://arxiv.org/abs/2202.02074v1)|null|
|**2022-02-01**|**Towards a Theoretical Understanding of Word and Relation Representation**|Carl Allen et.al.|[2202.00486v1](http://arxiv.org/abs/2202.00486v1)|null|
|**2022-02-01**|**Semantic Annotation and Querying Framework based on Semi-structured Ayurvedic Text**|Hrishikesh Terdalkar et.al.|[2202.00216v1](http://arxiv.org/abs/2202.00216v1)|null|
|**2022-02-07**|**QALD-9-plus: A Multilingual Dataset for Question Answering over DBpedia and Wikidata Translated by Native Speakers**|Aleksandr Perevalov et.al.|[2202.00120v2](http://arxiv.org/abs/2202.00120v2)|**[link](https://github.com/perevalov/qald_9_plus)**|
|**2022-01-31**|**Learning Representations of Entities and Relations**|Ivana Balažević et.al.|[2201.13073v1](http://arxiv.org/abs/2201.13073v1)|null|
|**2022-01-30**|**Potential Destination Prediction Based on Knowledge Graph Under Low Predictability Data Condition**|Guilong Li et.al.|[2201.12845v1](http://arxiv.org/abs/2201.12845v1)|null|
|**2022-01-28**|**Towards a Broad Coverage Named Entity Resource: A Data-Efficient Approach for Many Diverse Languages**|Silvia Severini et.al.|[2201.12219v1](http://arxiv.org/abs/2201.12219v1)|null|
|**2022-01-28**|**Leveraging class abstraction for commonsense reinforcement learning via residual policy gradient methods**|Niklas Höpner et.al.|[2201.12126v1](http://arxiv.org/abs/2201.12126v1)|null|
|**2022-01-27**|**A Survey on Visual Transfer Learning using Knowledge Graphs**|Sebastian Monka et.al.|[2201.11794v1](http://arxiv.org/abs/2201.11794v1)|null|
|**2022-01-27**|**Ontology-enhanced Prompt-tuning for Few-shot Learning**|Hongbin Ye et.al.|[2201.11332v1](http://arxiv.org/abs/2201.11332v1)|null|
|**2022-01-30**|**Epistemic AI platform accelerates innovation by connecting biomedical knowledge**|Emily Koo et.al.|[2201.11331v2](http://arxiv.org/abs/2201.11331v2)|null|
|**2022-01-25**|**Jointly Learning Knowledge Embedding and Neighborhood Consensus with Relational Knowledge Distillation for Entity Alignment**|Xinhang Li et.al.|[2201.11249v1](http://arxiv.org/abs/2201.11249v1)|null|
|**2022-01-23**|**OntoProtein: Protein Pretraining With Gene Ontology Embedding**|Ningyu Zhang et.al.|[2201.11147v1](http://arxiv.org/abs/2201.11147v1)|**[link](https://github.com/zjunlp/ontoprotein)**|
|**2022-01-19**|**Online POI Recommendation: Learning Dynamic Geo-Human Interactions in Streams**|Dongjie Wang et.al.|[2201.10983v1](http://arxiv.org/abs/2201.10983v1)|null|
|**2022-01-24**|**Box Embeddings for the Description Logic EL++**|Bo Xiong et.al.|[2201.09919v1](http://arxiv.org/abs/2201.09919v1)|**[link](https://github.com/box-el/boxel)**|
|**2022-01-24**|**Towards Collaborative Question Answering: A Preliminary Study**|Xiangkun Hu et.al.|[2201.09708v1](http://arxiv.org/abs/2201.09708v1)|null|
|**2022-01-24**|**Scaling Up Knowledge Graph Creation to Large and Heterogeneous Data Sources**|Enrique Iglesias et.al.|[2201.09694v1](http://arxiv.org/abs/2201.09694v1)|null|
|**2022-01-24**|**Relational Memory Augmented Language Models**|Qi Liu et.al.|[2201.09680v1](http://arxiv.org/abs/2201.09680v1)|null|
|**2022-01-24**|**A Knowledge Graph Embeddings based Approach for Author Name Disambiguation using Literals**|Cristian Santini et.al.|[2201.09555v1](http://arxiv.org/abs/2201.09555v1)|**[link](https://github.com/sntcristian/and-kge)**|
|**2022-01-21**|**GreaseLM: Graph REASoning Enhanced Language Models for Question Answering**|Xikun Zhang et.al.|[2201.08860v1](http://arxiv.org/abs/2201.08860v1)|**[link](https://github.com/snap-stanford/greaselm)**|
|**2022-01-21**|**Taxonomy Enrichment with Text and Graph Vector Representations**|Irina Nikishina et.al.|[2201.08598v1](http://arxiv.org/abs/2201.08598v1)|null|
|**2022-01-21**|**Trustworthy Knowledge Graph Completion Based on Multi-sourced Noisy Data**|Jiacheng Huang et.al.|[2201.08580v1](http://arxiv.org/abs/2201.08580v1)|**[link](https://github.com/nju-websoft/tkgc)**|
|**2022-01-16**|**Temporal Knowledge Graph Completion: A Survey**|Borui Cai et.al.|[2201.08236v1](http://arxiv.org/abs/2201.08236v1)|null|
|**2022-01-20**|**Knowledge Graph Question Answering Leaderboard: A Community Resource to Prevent a Replication Crisis**|Aleksandr Perevalov et.al.|[2201.08174v1](http://arxiv.org/abs/2201.08174v1)|**[link](https://github.com/kgqa/leaderboard)**|
|**2022-01-18**|**Inferring Commonsense Explanations as Prompts for Future Event Generation**|Li Lin et.al.|[2201.07099v1](http://arxiv.org/abs/2201.07099v1)|null|
|**2022-01-18**|**Conflict-aware Inference of Python Compatible Runtime Environments with Domain Knowledge Graph**|Wei Cheng et.al.|[2201.07029v1](http://arxiv.org/abs/2201.07029v1)|**[link](https://github.com/nju-websoft/pycre)**|
|**2022-01-19**|**COPA-SSE: Semi-structured Explanations for Commonsense Reasoning**|Ana Brassard et.al.|[2201.06777v2](http://arxiv.org/abs/2201.06777v2)|**[link](https://github.com/a-brassard/copa-sse)**|
|**2022-01-17**|**Generalizable Neuro-symbolic Systems for Commonsense Question Answering**|Alessandro Oltramari et.al.|[2201.06230v1](http://arxiv.org/abs/2201.06230v1)|null|
|**2022-01-17**|**ICLEA: Interactive Contrastive Learning for Self-supervised Entity Alignment**|Kaisheng Zeng et.al.|[2201.06225v1](http://arxiv.org/abs/2201.06225v1)|null|
|**2022-01-17**|**SQUIRE: A Sequence-to-sequence Framework for Multi-hop Knowledge Graph Reasoning**|Yushi Bai et.al.|[2201.06206v1](http://arxiv.org/abs/2201.06206v1)|**[link](https://github.com/bys0318/squire)**|
|**2022-01-15**|**An Automatic Ontology Generation Framework with An Organizational Perspective**|Samaa Elnagar et.al.|[2201.05910v1](http://arxiv.org/abs/2201.05910v1)|null|
|**2022-01-15**|**AI-Assisted Design Concept Exploration Through Character Space Construction**|Shin Sano et.al.|[2201.05798v1](http://arxiv.org/abs/2201.05798v1)|null|
|**2022-01-14**|**Reasoning Through Memorization: Nearest Neighbor Knowledge Graph Embeddings**|Ningyu Zhang et.al.|[2201.05575v1](http://arxiv.org/abs/2201.05575v1)|null|
|**2022-01-14**|**Training Free Graph Neural Networks for Graph Matching**|Zhiyuan Liu et.al.|[2201.05349v1](http://arxiv.org/abs/2201.05349v1)|**[link](https://github.com/acharkq/training-free-graph-matching)**|
|**2022-01-13**|**NLP in Human Rights Research -- Extracting Knowledge Graphs About Police and Army Units and Their Commanders**|Daniel Bauer et.al.|[2201.05230v1](http://arxiv.org/abs/2201.05230v1)|null|
|**2022-01-11**|**Stock Movement Prediction Based on Bi-typed and Hybrid-relational Market Knowledge Graph via Dual Attention Networks**|Yu Zhao et.al.|[2201.04965v1](http://arxiv.org/abs/2201.04965v1)|null|
|**2022-01-13**|**Ontological model identification based on data from heterogeneous sources**|A. Kalinin et.al.|[2201.04883v1](http://arxiv.org/abs/2201.04883v1)|null|
|**2022-01-14**|**Towards a Reference Software Architecture for Human-AI Teaming in Smart Manufacturing**|Philipp Haindl et.al.|[2201.04876v2](http://arxiv.org/abs/2201.04876v2)|null|
|**2022-01-13**|**LP-BERT: Multi-task Pre-training Knowledge Graph BERT for Link Prediction**|Da Li et.al.|[2201.04843v1](http://arxiv.org/abs/2201.04843v1)|null|
|**2022-01-13**|**Knowledge Graph Augmented Network Towards Multiview Representation Learning for Aspect-based Sentiment Analysis**|Qihuang Zhong et.al.|[2201.04831v1](http://arxiv.org/abs/2201.04831v1)|null|
|**2022-01-11**|**Demystifying the Vulnerability Propagation and Its Evolution via Dependency Trees in the NPM Ecosystem**|Chengwei Liu et.al.|[2201.03981v1](http://arxiv.org/abs/2201.03981v1)|null|
|**2022-01-11**|**Prior Knowledge Enhances Radiology Report Generation**|Song Wang et.al.|[2201.03761v1](http://arxiv.org/abs/2201.03761v1)|null|
|**2022-01-11**|**D-Graph: AI-Assisted Design Concept Exploration Graph**|Shin Sano et.al.|[2201.03737v1](http://arxiv.org/abs/2201.03737v1)|null|
|**2022-01-10**|**Opportunities of Hybrid Model-based Reinforcement Learning for Cell Therapy Manufacturing Process Development and Control**|Hua Zheng et.al.|[2201.03116v1](http://arxiv.org/abs/2201.03116v1)|null|
|**2022-01-08**|**Scaling Knowledge Graph Embedding Models**|Nasrullah Sheikh et.al.|[2201.02791v1](http://arxiv.org/abs/2201.02791v1)|null|
## GNN
|Publish Date|Title|Authors|PDF|Code|
|---|---|---|---|---|
|**2022-04-11**|**Multi-view graph structure learning using subspace merging on Grassmann manifold**|Razieh Ghiasi et.al.|[2204.05258v1](http://arxiv.org/abs/2204.05258v1)|null|
|**2022-04-11**|**Learning Object-Centered Autotelic Behaviors with Graph Neural Networks**|Ahmed Akakzia et.al.|[2204.05141v1](http://arxiv.org/abs/2204.05141v1)|null|
|**2022-04-08**|**Self-Supervised Graph Neural Network for Multi-Source Domain Adaptation**|Jin Yuan et.al.|[2204.05104v1](http://arxiv.org/abs/2204.05104v1)|null|
|**2022-04-11**|**How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision**|Dongkwan Kim et.al.|[2204.04879v1](http://arxiv.org/abs/2204.04879v1)|**[link](https://github.com/dongkwan-kim/SuperGAT)**|
|**2022-04-11**|**Augmentation-Free Graph Contrastive Learning**|Haonan Wang et.al.|[2204.04874v1](http://arxiv.org/abs/2204.04874v1)|null|
|**2022-04-10**|**Melting temperature prediction via first principles and deep learning**|Qi-Jun Hong et.al.|[2204.04740v1](http://arxiv.org/abs/2204.04740v1)|null|
|**2022-04-10**|**Expressiveness and Approximation Properties of Graph Neural Networks**|Floris Geerts et.al.|[2204.04661v1](http://arxiv.org/abs/2204.04661v1)|null|
|**2022-04-08**|**KCD: Knowledge Walks and Textual Cues Enhanced Political Perspective Detection in News Media**|Wenqian Zhang et.al.|[2204.04046v1](http://arxiv.org/abs/2204.04046v1)|null|
|**2022-04-08**|**Bag-of-Words vs. Sequence vs. Graph vs. Hierarchy for Single- and Multi-Label Text Classification**|Andor Diera et.al.|[2204.03954v1](http://arxiv.org/abs/2204.03954v1)|null|
|**2022-04-07**|**Explicit Feature Interaction-aware Graph Neural Networks**|Minkyu Kim et.al.|[2204.03225v1](http://arxiv.org/abs/2204.03225v1)|null|
|**2022-04-06**|**BiSyn-GAT+: Bi-Syntax Aware Graph Attention Network for Aspect-based Sentiment Analysis**|Shuo Liang et.al.|[2204.03117v1](http://arxiv.org/abs/2204.03117v1)|null|
|**2022-04-06**|**Graph Neural Networks Designed for Different Graph Types: A Survey**|Josephine M. Thomas et.al.|[2204.03080v1](http://arxiv.org/abs/2204.03080v1)|null|
|**2022-04-06**|**"The Pedestrian next to the Lamppost" Adaptive Object Graphs for Better Instantaneous Mapping**|Avishkar Saha et.al.|[2204.02944v1](http://arxiv.org/abs/2204.02944v1)|null|
|**2022-04-06**|**How Do Graph Networks Generalize to Large and Diverse Molecular Systems?**|Johannes Gasteiger et.al.|[2204.02782v1](http://arxiv.org/abs/2204.02782v1)|null|
|**2022-04-06**|**Bridging the Gap of AutoGraph between Academia and Industry: Analysing AutoGraph Challenge at KDD Cup 2020**|Zhen Xu et.al.|[2204.02625v1](http://arxiv.org/abs/2204.02625v1)|**[link](https://github.com/automl-research/autograph-kddcup2020)**|
|**2022-04-05**|**MGDCF: Distance Learning via Markov Graph Diffusion for Neural Collaborative Filtering**|Jun Hu et.al.|[2204.02338v1](http://arxiv.org/abs/2204.02338v1)|**[link](https://github.com/hujunxianligong/MGDCF)**|
|**2022-04-05**|**Transition Information Enhanced Disentangled Graph Neural Networks for Session-based Recommendation**|Ansong Li et.al.|[2204.02119v1](http://arxiv.org/abs/2204.02119v1)|**[link](https://github.com/AnsongLi/TIE-DGNN)**|
|**2022-04-05**|**Micro-Behavior Encoding for Session-based Recommendation**|Jiahao Yuan et.al.|[2204.02002v1](http://arxiv.org/abs/2204.02002v1)|null|
|**2022-04-04**|**End-to-end multi-particle reconstruction in high occupancy imaging calorimeters with graph neural networks**|Shah Rukh Qasim et.al.|[2204.01681v1](http://arxiv.org/abs/2204.01681v1)|null|
|**2022-04-05**|**Deep-Ensemble-Based Uncertainty Quantification in Spatiotemporal Graph Neural Networks for Traffic Forecasting**|Tanwi Mallick et.al.|[2204.01618v2](http://arxiv.org/abs/2204.01618v2)|null|
|**2022-04-04**|**Synthetic Graph Generation to Benchmark Graph Learning**|Anton Tsitsulin et.al.|[2204.01376v1](http://arxiv.org/abs/2204.01376v1)|**[link](https://github.com/google-research/google-research)**|
|**2022-04-04**|**MGRR-Net: Multi-level Graph Relational Reasoning Network for Facial Action Units Detection**|Xuri Ge et.al.|[2204.01349v1](http://arxiv.org/abs/2204.01349v1)|null|
|**2022-04-03**|**Virtual Relational Knowledge Graphs for Recommendation**|Lingyun Lu et.al.|[2204.01089v1](http://arxiv.org/abs/2204.01089v1)|null|
|**2022-04-01**|**NC-DRE: Leveraging Non-entity Clue Information for Document-level Relation Extraction**|Liang Zhang et.al.|[2204.00255v1](http://arxiv.org/abs/2204.00255v1)|null|
|**2022-04-01**|**Graph Enhanced Contrastive Learning for Radiology Findings Summarization**|Jinpeng Hu et.al.|[2204.00203v1](http://arxiv.org/abs/2204.00203v1)|**[link](https://github.com/jinpeng01/aig_cl)**|
|**2022-03-31**|**AEGNN: Asynchronous Event-based Graph Neural Networks**|Simon Schaefer et.al.|[2203.17149v1](http://arxiv.org/abs/2203.17149v1)|null|
|**2022-03-31**|**Message Passing Neural Networks for Hypergraphs**|Sajjad Heydari et.al.|[2203.16995v1](http://arxiv.org/abs/2203.16995v1)|null|
|**2022-03-30**|**Physics-constrained Unsupervised Learning of Partial Differential Equations using Meshes**|Mike Y. Michelis et.al.|[2203.16628v1](http://arxiv.org/abs/2203.16628v1)|null|
|**2022-04-01**|**Multi-Robot Active Mapping via Neural Bipartite Graph Matching**|Kai Ye et.al.|[2203.16319v2](http://arxiv.org/abs/2203.16319v2)|null|
|**2022-03-30**|**CMMD: Cross-Metric Multi-Dimensional Root Cause Analysis**|Shifu Yan et.al.|[2203.16280v1](http://arxiv.org/abs/2203.16280v1)|null|
|**2022-03-30**|**AdaGrid: Adaptive Grid Search for Link Prediction Training Objective**|Tim Poštuvan et.al.|[2203.16162v1](http://arxiv.org/abs/2203.16162v1)|null|
|**2022-04-02**|**A Simple Yet Effective Pretraining Strategy for Graph Few-shot Learning**|Zhen Tan et.al.|[2203.15936v2](http://arxiv.org/abs/2203.15936v2)|null|
|**2022-03-31**|**Graph Neural Networks in IoT: A Survey**|Guimin Dong et.al.|[2203.15935v2](http://arxiv.org/abs/2203.15935v2)|**[link](https://github.com/guimindong/gnn4iot)**|
|**2022-04-01**|**Pretraining Graph Neural Networks for few-shot Analog Circuit Modeling and Design**|Kourosh Hakhamaneshi et.al.|[2203.15913v2](http://arxiv.org/abs/2203.15913v2)|**[link](https://github.com/kouroshhakha/circuit-fewshot-code)**|
|**2022-03-29**|**Semi-supervised Graph Neural Networks for Pileup Noise Removal**|Tianchun Li et.al.|[2203.15823v1](http://arxiv.org/abs/2203.15823v1)|null|
|**2022-03-29**|**Revisiting Neighborhood-based Link Prediction for Collaborative Filtering**|Hao-Ming Fu et.al.|[2203.15789v1](http://arxiv.org/abs/2203.15789v1)|null|
|**2022-03-29**|**Graph Neural Networks are Dynamic Programmers**|Andrew Dudzik et.al.|[2203.15544v1](http://arxiv.org/abs/2203.15544v1)|null|
|**2022-03-29**|**Graph similarity learning for change-point detection in dynamic networks**|Deborah Sulem et.al.|[2203.15470v1](http://arxiv.org/abs/2203.15470v1)|null|
|**2022-03-29**|**OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks**|Wanyu Lin et.al.|[2203.15209v1](http://arxiv.org/abs/2203.15209v1)|**[link](https://github.com/wanyugroup/cvpr2022-orphicx)**|
|**2022-03-29**|**Long-term Visual Map Sparsification with Heterogeneous GNN**|Ming-Fang Chang et.al.|[2203.15182v1](http://arxiv.org/abs/2203.15182v1)|null|
|**2022-03-29**|**Learning to Synthesize Volumetric Meshes from Vision-based Tactile Imprints**|Xinghao Zhu et.al.|[2203.15155v1](http://arxiv.org/abs/2203.15155v1)|null|
|**2022-03-30**|**Solving Disjunctive Temporal Networks with Uncertainty under Restricted Time-Based Controllability using Tree Search and Graph Neural Networks**|Kevin Osanlou et.al.|[2203.15030v2](http://arxiv.org/abs/2203.15030v2)|null|
|**2022-03-28**|**DAMNETS: A Deep Autoregressive Model for Generating Markovian Network Time Series**|Jase Clarkson et.al.|[2203.15009v1](http://arxiv.org/abs/2203.15009v1)|**[link](https://github.com/damnets/damnets_icml_2022)**|
|**2022-03-28**|**Offline-Online Learning of Deformation Model for Cable Manipulation with Graph Neural Networks**|Changhao Wang et.al.|[2203.15004v1](http://arxiv.org/abs/2203.15004v1)|null|
|**2022-03-28**|**Learning What You Need from What You Did: Product Taxonomy Expansion with User Behaviors Supervision**|Sijie Cheng et.al.|[2203.14921v1](http://arxiv.org/abs/2203.14921v1)|**[link](https://github.com/adacheng/product_taxonomy_expansion)**|
|**2022-03-28**|**TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs**|Hongkuan Zhou et.al.|[2203.14883v1](http://arxiv.org/abs/2203.14883v1)|null|
|**2022-03-28**|**Discovering dynamic laws from observations with Graph Neural Networks: the case of self-propelled, interacting colloids**|Miguel Ruiz-Garcia et.al.|[2203.14846v1](http://arxiv.org/abs/2203.14846v1)|null|
|**2022-03-28**|**Enhancing Neural Mathematical Reasoning by Abductive Combination with Symbolic Library**|Yangyang Hu et.al.|[2203.14487v1](http://arxiv.org/abs/2203.14487v1)|null|
|**2022-03-28**|**Equivariant Point Cloud Analysis via Learning Orientations for Message Passing**|Shitong Luo et.al.|[2203.14486v1](http://arxiv.org/abs/2203.14486v1)|**[link](https://github.com/luost26/equivariant-orientedmp)**|
|**2022-03-27**|**Distributed Link Sparsification for Scalable Scheduling Using Graph Neural Networks**|Zhongyuan Zhao et.al.|[2203.14339v1](http://arxiv.org/abs/2203.14339v1)|**[link](https://github.com/zhongyuanzhao/gcn-sparsify)**|
|**2022-03-27**|**TREND: TempoRal Event and Node Dynamics for Graph Representation Learning**|Zhihao Wen et.al.|[2203.14303v1](http://arxiv.org/abs/2203.14303v1)|null|
|**2022-03-27**|**HELoC: Hierarchical Contrastive Learning of Source Code Representation**|Xiao Wang et.al.|[2203.14285v1](http://arxiv.org/abs/2203.14285v1)|null|
|**2022-03-27**|**End-to-End Active Speaker Detection**|Juan Leon Alcazar et.al.|[2203.14250v1](http://arxiv.org/abs/2203.14250v1)|null|
|**2022-03-26**|**A comparative analysis of Graph Neural Networks and commonly used machine learning algorithms on fake news detection**|Fahim Belal Mahmud et.al.|[2203.14132v1](http://arxiv.org/abs/2203.14132v1)|null|
|**2022-03-25**|**Ensemble Spectral Prediction (ESP) Model for Metabolite Annotation**|Xinmeng Li et.al.|[2203.13783v1](http://arxiv.org/abs/2203.13783v1)|null|
|**2022-03-25**|**Dealing with Sparse Rewards Using Graph Neural Networks**|Matvey Gerasyov et.al.|[2203.13424v1](http://arxiv.org/abs/2203.13424v1)|null|
|**2022-03-25**|**Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges**|Savannah Thais et.al.|[2203.12852v2](http://arxiv.org/abs/2203.12852v2)|null|
|**2022-03-24**|**Keypoints Tracking via Transformer Networks**|Oleksii Nasypanyi et.al.|[2203.12848v1](http://arxiv.org/abs/2203.12848v1)|**[link](https://github.com/lexanagibator228/keypoints-tracking-via-transformer-networks)**|
|**2022-03-24**|**LHNN: Lattice Hypergraph Neural Network for VLSI Congestion Prediction**|Bowen Wang et.al.|[2203.12831v1](http://arxiv.org/abs/2203.12831v1)|null|
|**2022-03-23**|**Semi-Supervised Graph Learning Meets Dimensionality Reduction**|Alex Morehead et.al.|[2203.12522v1](http://arxiv.org/abs/2203.12522v1)|**[link](https://github.com/amorehead/SSL-With-DR-And-GNNs)**|
|**2022-03-23**|**Ethereum Fraud Detection with Heterogeneous Graph Neural Networks**|Hiroki Kanezashi et.al.|[2203.12363v1](http://arxiv.org/abs/2203.12363v1)|null|
|**2022-03-22**|**Exploring High-Order Structure for Robust Graph Structure Learning**|Guangqian Yang et.al.|[2203.11492v1](http://arxiv.org/abs/2203.11492v1)|null|
|**2022-03-19**|**Exploiting Neighbor Effect: Conv-Agnostic GNNs Framework for Graphs with Heterophily**|Jie Chen et.al.|[2203.11200v1](http://arxiv.org/abs/2203.11200v1)|null|
|**2022-03-21**|**Improving anatomical plausibility in medical image segmentation via hybrid graph neural networks: applications to chest x-ray analysis**|Nicolás Gaggion et.al.|[2203.10977v1](http://arxiv.org/abs/2203.10977v1)|**[link](https://github.com/ngaggion/HybridGNet)**|
|**2022-03-21**|**3D Multi-Object Tracking Using Graph Neural Networks with Cross-Edge Modality Attention**|Martin Buchner et.al.|[2203.10926v1](http://arxiv.org/abs/2203.10926v1)|null|
|**2022-03-21**|**Graph Neural Networks for Wireless Communications: From Theory to Practice**|Yifei Shen et.al.|[2203.10800v1](http://arxiv.org/abs/2203.10800v1)|**[link](https://github.com/yshenaw/gnn4com)**|
|**2022-03-20**|**Differentiable Reasoning over Long Stories -- Assessing Systematic Generalisation in Neural Models**|Wanshui Li et.al.|[2203.10620v1](http://arxiv.org/abs/2203.10620v1)|null|
|**2022-03-20**|**LEReg: Empower Graph Neural Networks with Local Energy Regularization**|Xiaojun Ma et.al.|[2203.10565v1](http://arxiv.org/abs/2203.10565v1)|null|
|**2022-03-20**|**Inspection-L: Practical GNN-Based Money Laundering Detection System for Bitcoin**|Wai Weng Lo et.al.|[2203.10465v1](http://arxiv.org/abs/2203.10465v1)|null|
|**2022-03-20**|**Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport**|Jiying Zhang et.al.|[2203.10453v1](http://arxiv.org/abs/2203.10453v1)|null|
|**2022-03-19**|**Meta-Weight Graph Neural Network: Push the Limits Beyond Global Homophily**|Xiaojun Ma et.al.|[2203.10280v1](http://arxiv.org/abs/2203.10280v1)|null|
|**2022-03-18**|**Characterizing Disorder Within Atomic Environments Through Physics-preserving Graph Neural Networks**|James Chapman et.al.|[2203.10177v1](http://arxiv.org/abs/2203.10177v1)|null|
|**2022-03-18**|**Deep Reinforcement Learning Guided Graph Neural Networks for Brain Network Analysis**|Xusheng Zhao et.al.|[2203.10093v1](http://arxiv.org/abs/2203.10093v1)|null|
|**2022-03-18**|**Series Photo Selection via Multi-view Graph Learning**|Jin Huang et.al.|[2203.09736v1](http://arxiv.org/abs/2203.09736v1)|null|
|**2022-03-18**|**Towards Training Billion Parameter Graph Neural Networks for Atomic Simulations**|Anuroop Sriram et.al.|[2203.09697v1](http://arxiv.org/abs/2203.09697v1)|null|
|**2022-03-18**|**Behavior-aware Account De-anonymization on Ethereum Interaction Graph**|Jiajun Zhou et.al.|[2203.09360v2](http://arxiv.org/abs/2203.09360v2)|null|
|**2022-03-17**|**Explainability in Graph Neural Networks: An Experimental Survey**|Peibo Li et.al.|[2203.09258v1](http://arxiv.org/abs/2203.09258v1)|null|
|**2022-03-17**|**SoK: Differential Privacy on Graph-Structured Data**|Tamara T. Mueller et.al.|[2203.09205v1](http://arxiv.org/abs/2203.09205v1)|null|
|**2022-03-17**|**Graph Representation Learning with Individualization and Refinement**|Mohammed Haroon Dupty et.al.|[2203.09141v1](http://arxiv.org/abs/2203.09141v1)|null|
|**2022-03-16**|**Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks**|Marten Lienen et.al.|[2203.08852v1](http://arxiv.org/abs/2203.08852v1)|**[link](https://github.com/martenlienen/finite-element-networks)**|
|**2022-03-16**|**Graph Neural Networks for Multiparallel Word Alignment**|Ayyoob Imani et.al.|[2203.08654v1](http://arxiv.org/abs/2203.08654v1)|null|
|**2022-03-16**|**HeterMPC: A Heterogeneous Graph Neural Network for Response Generation in Multi-Party Conversations**|Jia-Chen Gu et.al.|[2203.08500v1](http://arxiv.org/abs/2203.08500v1)|**[link](https://github.com/lxchtan/hetermpc)**|
|**2022-03-15**|**OcclusionFusion: Occlusion-aware Motion Estimation for Real-time Dynamic 3D Reconstruction**|Wenbin Lin et.al.|[2203.07977v1](http://arxiv.org/abs/2203.07977v1)|null|
|**2022-03-15**|**PDNS-Net: A Large Heterogeneous Graph Benchmark Dataset of Network Resolutions for Graph Learning**|Udesh Kumarasinghe et.al.|[2203.07969v1](http://arxiv.org/abs/2203.07969v1)|**[link](https://github.com/qcri/pdns-net)**|
|**2022-03-15**|**Amortised inference of fractional Brownian motion with linear computational complexity**|François Laurent et.al.|[2203.07961v1](http://arxiv.org/abs/2203.07961v1)|null|
|**2022-03-14**|**Simulating Liquids with Graph Networks**|Jonathan Klimesch et.al.|[2203.07895v1](http://arxiv.org/abs/2203.07895v1)|null|
|**2022-03-15**|**Graph Neural Network Sensitivity Under Probabilistic Error Model**|Xinjue Wang et.al.|[2203.07831v1](http://arxiv.org/abs/2203.07831v1)|null|
|**2022-03-15**|**Supervised Contrastive Learning with Structure Inference for Graph Classification**|Hao Jia et.al.|[2203.07691v1](http://arxiv.org/abs/2203.07691v1)|null|
|**2022-03-15**|**Incorporating Heterophily into Graph Neural Networks for Graph Classification**|Wei Ye et.al.|[2203.07678v1](http://arxiv.org/abs/2203.07678v1)|**[link](https://github.com/yeweiysh/ihgnn)**|
|**2022-03-15**|**Distributed-Memory Sparse Kernels for Machine Learning**|Vivek Bharadwaj et.al.|[2203.07673v1](http://arxiv.org/abs/2203.07673v1)|null|
|**2022-03-15**|**Graph Representation Learning for Popularity Prediction Problem: A Survey**|Tiantian Chen et.al.|[2203.07632v1](http://arxiv.org/abs/2203.07632v1)|null|
|**2022-03-14**|**Improving Di-Higgs Sensitivity at Future Colliders in Hadronic Final States with Machine Learning**|Daniel Diaz et.al.|[2203.07353v1](http://arxiv.org/abs/2203.07353v1)|null|
|**2022-03-14**|**Towards Neural Sparse Linear Solvers**|Luca Grementieri et.al.|[2203.06944v1](http://arxiv.org/abs/2203.06944v1)|null|
|**2022-03-14**|**Continual Learning for Multivariate Time Series Tasks with Variable Input Dimensions**|Vibhor Gupta et.al.|[2203.06852v1](http://arxiv.org/abs/2203.06852v1)|null|
|**2022-03-13**|**Pruned Graph Neural Network for Short Story Ordering**|Melika Golestani et.al.|[2203.06778v1](http://arxiv.org/abs/2203.06778v1)|null|
|**2022-03-12**|**Equivariant Graph Mechanics Networks with Constraints**|Wenbing Huang et.al.|[2203.06442v1](http://arxiv.org/abs/2203.06442v1)|**[link](https://github.com/hanjq17/gmn)**|
|**2022-03-12**|**Transition Relation Aware Self-Attention for Session-based Recommendation**|Guanghui Zhu et.al.|[2203.06407v1](http://arxiv.org/abs/2203.06407v1)|null|
|**2022-03-12**|**GRAND+: Scalable Graph Random Neural Networks**|Wenzheng Feng et.al.|[2203.06389v1](http://arxiv.org/abs/2203.06389v1)|**[link](https://github.com/wzfhaha/grand-plus)**|
|**2022-03-11**|**Leveraging universality of jet taggers through transfer learning**|Frédéric A. Dreyer et.al.|[2203.06210v1](http://arxiv.org/abs/2203.06210v1)|null|
|**2022-03-11**|**Graph Neural Networks for Relational Inductive Bias in Vision-based Deep Reinforcement Learning of Robot Control**|Marco Oliva et.al.|[2203.05985v1](http://arxiv.org/abs/2203.05985v1)|null|
|**2022-03-11**|**Graph Summarization with Graph Neural Networks**|Maximilian Blasi et.al.|[2203.05919v1](http://arxiv.org/abs/2203.05919v1)|null|
|**2022-03-14**|**Spatial Commonsense Graph for Object Localisation in Partial Scenes**|Francesco Giuliari et.al.|[2203.05380v2](http://arxiv.org/abs/2203.05380v2)|**[link](https://github.com/fgiuliari/spatialcommonsensegraph-dataset)**|
|**2022-03-10**|**LineVD: Statement-level Vulnerability Detection using Graph Neural Networks**|David Hin et.al.|[2203.05181v1](http://arxiv.org/abs/2203.05181v1)|null|
|**2022-03-10**|**Earthquake Location and Magnitude Estimation with Graph Neural Networks**|Ian W. McBrearty et.al.|[2203.05144v1](http://arxiv.org/abs/2203.05144v1)|null|
|**2022-03-10**|**Model-Architecture Co-Design for High Performance Temporal GNN Inference on FPGA**|Hongkuan Zhou et.al.|[2203.05095v1](http://arxiv.org/abs/2203.05095v1)|**[link](https://github.com/zjjzby/tgnn-fpga-ipdps2022)**|
|**2022-03-09**|**Adaptive Trajectory Prediction via Transferable GNN**|Yi Xu et.al.|[2203.05046v1](http://arxiv.org/abs/2203.05046v1)|null|
|**2022-03-09**|**BaM: A Case for Enabling Fine-grain High Throughput GPU-Orchestrated Access to Storage**|Zaid Qureshi et.al.|[2203.04910v1](http://arxiv.org/abs/2203.04910v1)|null|
|**2022-03-09**|**SkinningNet: Two-Stream Graph Convolutional Neural Network for Skinning Prediction of Synthetic Characters**|Albert Mosella-Montoro et.al.|[2203.04746v1](http://arxiv.org/abs/2203.04746v1)|null|
|**2022-03-07**|**Non-equilibrium molecular geometries in graph neural networks**|Ali Raza et.al.|[2203.04697v1](http://arxiv.org/abs/2203.04697v1)|null|
|**2022-03-08**|**Sparsification and Filtering for Spatial-temporal GNN in Multivariate Time-series**|Yuanrong Wang et.al.|[2203.03991v1](http://arxiv.org/abs/2203.03991v1)|null|
|**2022-03-08**|**Few-Shot Traffic Prediction with Graph Networks using Locale as Relational Inductive Biases**|Mingxi Li et.al.|[2203.03965v1](http://arxiv.org/abs/2203.03965v1)|**[link](https://github.com/mingxilii/localegn)**|
|**2022-03-08**|**Graph Reinforcement Learning for Predictive Power Allocation to Mobile Users**|Jianyu Zhao et.al.|[2203.03906v1](http://arxiv.org/abs/2203.03906v1)|null|
|**2022-03-08**|**Panoramic Human Activity Recognition**|Ruize Han et.al.|[2203.03806v1](http://arxiv.org/abs/2203.03806v1)|null|
|**2022-03-07**|**ZippyPoint: Fast Interest Point Detection, Description, and Matching through Mixed Precision Discretization**|Simon Maurer et.al.|[2203.03610v1](http://arxiv.org/abs/2203.03610v1)|null|
|**2022-03-08**|**Graph Neural Networks for Image Classification and Reinforcement Learning using Graph representations**|Naman Goyal et.al.|[2203.03457v2](http://arxiv.org/abs/2203.03457v2)|null|
|**2022-03-07**|**Unpaired Image Captioning by Image-level Weakly-Supervised Visual Concept Recognition**|Peipei Zhu et.al.|[2203.03195v1](http://arxiv.org/abs/2203.03195v1)|null|
|**2022-03-07**|**Scalable Verification of GNN-based Job Schedulers**|Haoze Wu et.al.|[2203.03153v1](http://arxiv.org/abs/2203.03153v1)|null|
|**2022-03-07**|**End-to-end video instance segmentation via spatial-temporal graph neural networks**|Tao Wang et.al.|[2203.03145v1](http://arxiv.org/abs/2203.03145v1)|**[link](https://github.com/lucaswithai/visgraph)**|
|**2022-03-06**|**Story Point Effort Estimation by Text Level Graph Neural Network**|Hung Phan et.al.|[2203.03062v1](http://arxiv.org/abs/2203.03062v1)|null|
|**2022-03-06**|**Graph Neural Network Enhanced Language Models for Efficient Multilingual Text Classification**|Samujjwal Ghosh et.al.|[2203.02912v1](http://arxiv.org/abs/2203.02912v1)|null|
|**2022-03-06**|**Graph Neural Network Potential for Magnetic Materials**|Hongyu Yu et.al.|[2203.02853v1](http://arxiv.org/abs/2203.02853v1)|null|
|**2022-03-05**|**Flurry: a Fast Framework for Reproducible Multi-layered Provenance Graph Representation Learning**|Maya Kapoor et.al.|[2203.02744v1](http://arxiv.org/abs/2203.02744v1)|null|
|**2022-03-05**|**MVD: Memory-Related Vulnerability Detection Based on Flow-Sensitive Graph Neural Networks**|Sicong Cao et.al.|[2203.02660v1](http://arxiv.org/abs/2203.02660v1)|null|
|**2022-03-04**|**GCNet: Graph Completion Network for Incomplete Multimodal Learning in Conversation**|Zheng Lian et.al.|[2203.02177v1](http://arxiv.org/abs/2203.02177v1)|null|
|**2022-03-04**|**Time-aware Graph Neural Networks for Entity Alignment between Temporal Knowledge Graphs**|Chengjin_Xu et.al.|[2203.02150v1](http://arxiv.org/abs/2203.02150v1)|**[link](https://github.com/soledad921/tea-gnn)**|
|**2022-03-03**|**Zero-shot Domain Adaptation of Heterogeneous Graphs via Knowledge Transfer Networks**|Minji Yoon et.al.|[2203.02018v1](http://arxiv.org/abs/2203.02018v1)|null|
|**2022-03-03**|**Graph Neural Networks for Multimodal Single-Cell Data Integration**|Hongzhi Wen et.al.|[2203.01884v1](http://arxiv.org/abs/2203.01884v1)|**[link](https://github.com/openproblems-bio/neurips2021_multimodal_topmethods)**|
|**2022-03-03**|**Thermodynamics-informed graph neural networks**|Quercus Hernández et.al.|[2203.01874v1](http://arxiv.org/abs/2203.01874v1)|null|
|**2022-03-03**|**Socially Aware Robot Crowd Navigation with Interaction Graphs and Human Trajectory Prediction**|Shuijing Liu et.al.|[2203.01821v1](http://arxiv.org/abs/2203.01821v1)|null|
|**2022-03-03**|**On an application of graph neural networks in population based SHM**|G. Tsialiamanis et.al.|[2203.01646v1](http://arxiv.org/abs/2203.01646v1)|null|
|**2022-03-03**|**Neural Graph Matching for Pre-training Graph Neural Networks**|Yupeng Hou et.al.|[2203.01597v1](http://arxiv.org/abs/2203.01597v1)|**[link](https://github.com/rucaibox/gmpt)**|
|**2022-03-02**|**GNN-based end-to-end reconstruction in the CMS Phase 2 High-Granularity Calorimeter**|Saptaparna Bhattacharya et.al.|[2203.01189v1](http://arxiv.org/abs/2203.01189v1)|null|
|**2022-03-02**|**Visual Feature Encoding for GNNs on Road Networks**|Oliver Stromann et.al.|[2203.01187v1](http://arxiv.org/abs/2203.01187v1)|null|
|**2022-03-02**|**Hyperparameter optimization of data-driven AI models on HPC systems**|Eric Wulff et.al.|[2203.01112v1](http://arxiv.org/abs/2203.01112v1)|null|
|**2022-03-02**|**Information Gain Propagation: a new way to Graph Active Learning with Soft Labels**|Wentao Zhang et.al.|[2203.01093v1](http://arxiv.org/abs/2203.01093v1)|**[link](https://github.com/zwt233/igp)**|
|**2022-03-02**|**GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation**|Sina Sajadmanesh et.al.|[2203.00949v1](http://arxiv.org/abs/2203.00949v1)|null|
|**2022-03-02**|**Learning Object Relations with Graph Neural Networks for Target-Driven Grasping in Dense Clutter**|Xibai Lou et.al.|[2203.00875v1](http://arxiv.org/abs/2203.00875v1)|null|
|**2022-03-02**|**CandidateDrug4Cancer: An Open Molecular Graph Learning Benchmark on Drug Discovery for Cancer**|Xianbin Ye et.al.|[2203.00836v1](http://arxiv.org/abs/2203.00836v1)|null|
|**2022-03-01**|**PaSca: a Graph Neural Architecture Search System under the Scalable Paradigm**|Wentao Zhang et.al.|[2203.00638v1](http://arxiv.org/abs/2203.00638v1)|null|
|**2022-03-01**|**Learning Intermediate Representations using Graph Neural Networks for NUMA and Prefetchers Optimization**|Ali TehraniJamsaz et.al.|[2203.00611v1](http://arxiv.org/abs/2203.00611v1)|null|
|**2022-03-01**|**Motion-aware Dynamic Graph Neural Network for Video Compressive Sensing**|Ruiying Lu et.al.|[2203.00387v1](http://arxiv.org/abs/2203.00387v1)|null|
|**2022-03-01**|**Machine Learning for Particle Flow Reconstruction at CMS**|Joosep Pata et.al.|[2203.00330v1](http://arxiv.org/abs/2203.00330v1)|null|
|**2022-03-01**|**Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks**|Haorui Wang et.al.|[2203.00199v1](http://arxiv.org/abs/2203.00199v1)|**[link](https://github.com/graph-com/peg)**|
|**2022-02-28**|**GraphWorld: Fake Graphs Bring Real Insights for GNNs**|John Palowitch et.al.|[2203.00112v1](http://arxiv.org/abs/2203.00112v1)|null|
|**2022-02-28**|**RouteNet-Erlang: A Graph Neural Network for Network Performance Evaluation**|Miquel Ferriol-Galmés et.al.|[2202.13956v1](http://arxiv.org/abs/2202.13956v1)|null|
|**2022-02-28**|**Data-Augmentation for Graph Neural Network Learning of the Relaxed Energies of Unrelaxed Structures**|Jason B. Gibson et.al.|[2202.13947v1](http://arxiv.org/abs/2202.13947v1)|null|
|**2022-02-28**|**Hyperbolic Graph Neural Networks: A Review of Methods and Applications**|Menglin Yang et.al.|[2202.13852v1](http://arxiv.org/abs/2202.13852v1)|**[link](https://github.com/marlin-codes/HGNNs)**|
|**2022-02-28**|**Differential equation and probability inspired graph neural networks for latent variable learning**|Zhuangwei Shi et.al.|[2202.13800v1](http://arxiv.org/abs/2202.13800v1)|**[link](https://github.com/zshicode/latent-variable-gnn)**|
|**2022-02-28**|**Points-of-Interest Relationship Inference with Spatial-enriched Graph Neural Networks**|Yile Chen et.al.|[2202.13686v1](http://arxiv.org/abs/2202.13686v1)|null|
|**2022-02-28**|**Algorithm and System Co-design for Efficient Subgraph-based Graph Representation Learning**|Haoteng Yin et.al.|[2202.13538v1](http://arxiv.org/abs/2202.13538v1)|null|
|**2022-02-27**|**Distribution Preserving Graph Representation Learning**|Chengsheng Mao et.al.|[2202.13428v1](http://arxiv.org/abs/2202.13428v1)|null|
|**2022-02-27**|**Concept Graph Neural Networks for Surgical Video Understanding**|Yutong Ban et.al.|[2202.13402v1](http://arxiv.org/abs/2202.13402v1)|null|
|**2022-02-25**|**Projective Ranking-based GNN Evasion Attacks**|He Zhang et.al.|[2202.12993v1](http://arxiv.org/abs/2202.12993v1)|null|
|**2022-02-25**|**Fluid Simulation System Based on Graph Neural Network**|Qiang Liu et.al.|[2202.12619v1](http://arxiv.org/abs/2202.12619v1)|null|
|**2022-02-25**|**Spatio-Temporal Latent Graph Structure Learning for Traffic Forecasting**|Jiabin Tang et.al.|[2202.12586v1](http://arxiv.org/abs/2202.12586v1)|null|
|**2022-02-25**|**Addressing Over-Smoothing in Graph Neural Networks via Deep Supervision**|Pantelis Elinas et.al.|[2202.12508v1](http://arxiv.org/abs/2202.12508v1)|null|
|**2022-02-25**|**Multi-View Graph Representation for Programming Language Processing: An Investigation into Algorithm Detection**|Ting Long et.al.|[2202.12481v1](http://arxiv.org/abs/2202.12481v1)|**[link](https://github.com/githubg0/mvg)**|
|**2022-02-25**|**GAME-ON: Graph Attention Network based Multimodal Fusion for Fake News Detection**|Mudit Dhawan et.al.|[2202.12478v1](http://arxiv.org/abs/2202.12478v1)|null|
|**2022-02-24**|**Learning Multi-Object Dynamics with Compositional Neural Radiance Fields**|Danny Driess et.al.|[2202.11855v1](http://arxiv.org/abs/2202.11855v1)|null|
|**2022-02-23**|**Cooperative Behavioral Planning for Automated Driving using Graph Neural Networks**|Marvin Klimke et.al.|[2202.11376v1](http://arxiv.org/abs/2202.11376v1)|null|
|**2022-02-23**|**Deep Graph Learning for Anomalous Citation Detection**|Jiaying Liu et.al.|[2202.11360v1](http://arxiv.org/abs/2202.11360v1)|null|
|**2022-02-22**|**Bag Graph: Multiple Instance Learning using Bayesian Graph Neural Networks**|Soumyasundar Pal et.al.|[2202.11132v1](http://arxiv.org/abs/2202.11132v1)|**[link](https://github.com/networkslab/baggraph)**|
|**2022-02-22**|**Message passing all the way up**|Petar Veličković et.al.|[2202.11097v1](http://arxiv.org/abs/2202.11097v1)|null|
|**2022-02-22**|**Learning Dynamics and Structure of Complex Systems Using Graph Neural Networks**|Zhe Li et.al.|[2202.10996v1](http://arxiv.org/abs/2202.10996v1)|null|
|**2022-02-23**|**Ligandformer: A Graph Neural Network for Predicting Compound Property with Robust Interpretation**|Jinjiang Guo et.al.|[2202.10873v2](http://arxiv.org/abs/2202.10873v2)|null|
|**2022-02-22**|**PyTorch Geometric Signed Directed: A Survey and Software on Graph Neural Networks for Signed and Directed Graphs**|Yixuan He et.al.|[2202.10793v1](http://arxiv.org/abs/2202.10793v1)|**[link](https://github.com/sherylhyx/pytorch_geometric_signed_directed)**|
|**2022-02-22**|**EIGNN: Efficient Infinite-Depth Graph Neural Networks**|Juncheng Liu et.al.|[2202.10720v1](http://arxiv.org/abs/2202.10720v1)|**[link](https://github.com/liu-jc/eignn)**|
|**2022-02-22**|**Targeting occupant feedback using digital twins: Adaptive spatial-temporal thermal preference sampling to optimize personal comfort models**|Mahmoud Abdelrahman et.al.|[2202.10707v1](http://arxiv.org/abs/2202.10707v1)|null|
|**2022-02-22**|**Equivariant Graph Hierarchy-Based Neural Networks**|Jiaqi Han et.al.|[2202.10643v1](http://arxiv.org/abs/2202.10643v1)|null|
|**2022-02-21**|**Degree-Preserving Randomized Response for Graph Neural Networks under Local Differential Privacy**|Seira Hidano et.al.|[2202.10209v1](http://arxiv.org/abs/2202.10209v1)|null|
|**2022-02-21**|**RTGNN: A Novel Approach to Model Stochastic Traffic Dynamics**|Ke Sun et.al.|[2202.09977v1](http://arxiv.org/abs/2202.09977v1)|null|
|**2022-02-20**|**Equivariant Graph Attention Networks for Molecular Property Prediction**|Tuan Le et.al.|[2202.09891v1](http://arxiv.org/abs/2202.09891v1)|null|
|**2022-02-19**|**Graph Spring Network and Informative Anchor Selection for Session-based Recommendation**|Zizhuo Zhang et.al.|[2202.09502v1](http://arxiv.org/abs/2202.09502v1)|null|
|**2022-02-18**|**Interactive Visual Pattern Search on Graph Data via Graph Representation Learning**|Huan Song et.al.|[2202.09459v1](http://arxiv.org/abs/2202.09459v1)|null|
|**2022-02-18**|**Predicting deformation mechanisms in architected metamaterials using GNN**|Padmeya Prashant Indurkar et.al.|[2202.09427v1](http://arxiv.org/abs/2202.09427v1)|null|
|**2022-02-18**|**Black-box Node Injection Attack for Graph Neural Networks**|Mingxuan Ju et.al.|[2202.09389v1](http://arxiv.org/abs/2202.09389v1)|null|
|**2022-02-18**|**Improving Molecular Contrastive Learning via Faulty Negative Mitigation and Decomposed Fragment Contrast**|Yuyang Wang et.al.|[2202.09346v1](http://arxiv.org/abs/2202.09346v1)|null|
|**2022-02-18**|**Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network**|Tianyu Zhao et.al.|[2202.09177v1](http://arxiv.org/abs/2202.09177v1)|null|
|**2022-02-18**|**Generalizing Aggregation Functions in GNNs:High-Capacity GNNs via Nonlinear Neighborhood Aggregators**|Beibei Wang et.al.|[2202.09145v1](http://arxiv.org/abs/2202.09145v1)|null|
|**2022-02-18**|**Graph Auto-Encoder Via Neighborhood Wasserstein Reconstruction**|Mingyue Tang et.al.|[2202.09025v1](http://arxiv.org/abs/2202.09025v1)|**[link](https://github.com/mtang724/nwr-gae)**|
|**2022-02-18**|**PGCN: Progressive Graph Convolutional Networks for Spatial-Temporal Traffic Forecasting**|Yuyol Shin et.al.|[2202.08982v1](http://arxiv.org/abs/2202.08982v1)|null|
|**2022-02-21**|**GNN-Surrogate: A Hierarchical and Adaptive Graph Neural Network for Parameter Space Exploration of Unstructured-Mesh Ocean Simulations**|Neng Shi et.al.|[2202.08956v2](http://arxiv.org/abs/2202.08956v2)|**[link](https://github.com/trainsn/gnn-surrogate)**|
|**2022-02-17**|**Training neural networks using monotone variational inequality**|Chen Xu et.al.|[2202.08876v1](http://arxiv.org/abs/2202.08876v1)|**[link](https://github.com/hamrel-cxu/svi-nn-training)**|
|**2022-02-17**|**The Exact Class of Graph Functions Generated by Graph Neural Networks**|Mohammad Fereydounian et.al.|[2202.08833v1](http://arxiv.org/abs/2202.08833v1)|**[link](https://github.com/dadashkarimi/gnn)**|
|**2022-02-17**|**Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning**|Juntao Tan et.al.|[2202.08816v1](http://arxiv.org/abs/2202.08816v1)|null|
|**2022-02-17**|**Heuristic Adaptability to Input Dynamics for SpMM on GPUs**|Guohao Dai et.al.|[2202.08556v1](http://arxiv.org/abs/2202.08556v1)|null|
|**2022-02-17**|**Structural and Semantic Contrastive Learning for Self-supervised Node Representation Learning**|Kaize Ding et.al.|[2202.08480v1](http://arxiv.org/abs/2202.08480v1)|null|
|**2022-02-16**|**Task-Agnostic Graph Explanations**|Yaochen Xie et.al.|[2202.08335v1](http://arxiv.org/abs/2202.08335v1)|null|
|**2022-02-16**|**Self-Supervised Representation Learning via Latent Graph Prediction**|Yaochen Xie et.al.|[2202.08333v1](http://arxiv.org/abs/2202.08333v1)|null|
|**2022-02-16**|**Data Augmentation for Deep Graph Learning: A Survey**|Kaize Ding et.al.|[2202.08235v1](http://arxiv.org/abs/2202.08235v1)|null|
|**2022-02-15**|**Modular multi-source prediction of drug side-effects with DruGNN**|Pietro Bongini et.al.|[2202.08147v1](http://arxiv.org/abs/2202.08147v1)|null|
|**2022-02-16**|**Graph Neural Network and Koopman Models for Learning Networked Dynamics: A Comparative Study on Power Grid Transients Prediction**|Sai Pushpak Nandanoori et.al.|[2202.08065v1](http://arxiv.org/abs/2202.08065v1)|null|
|**2022-02-16**|**Understanding and Improving Graph Injection Attack by Promoting Unnoticeability**|Yongqiang Chen et.al.|[2202.08057v1](http://arxiv.org/abs/2202.08057v1)|**[link](https://github.com/lfhase/gia-hao)**|
|**2022-02-17**|**When Does A Spectral Graph Neural Network Fail in Node Classification?**|Zhixian Chen et.al.|[2202.07902v2](http://arxiv.org/abs/2202.07902v2)|null|
|**2022-02-16**|**Privacy-Preserving Graph Neural Network Training and Inference as a Cloud Service**|Songlei Wang et.al.|[2202.07835v1](http://arxiv.org/abs/2202.07835v1)|null|
|**2022-02-15**|**Forecasting Global Weather with Graph Neural Networks**|Ryan Keisler et.al.|[2202.07575v1](http://arxiv.org/abs/2202.07575v1)|null|
|**2022-02-15**|**Federated Graph Neural Networks: Overview, Techniques and Challenges**|Rui Liu et.al.|[2202.07256v1](http://arxiv.org/abs/2202.07256v1)|null|
|**2022-02-16**|**Geometrically Equivariant Graph Neural Networks: A Survey**|Jiaqi Han et.al.|[2202.07230v2](http://arxiv.org/abs/2202.07230v2)|null|
|**2022-02-15**|**Graph Meta-Reinforcement Learning for Transferable Autonomous Mobility-on-Demand**|Daniele Gammelli et.al.|[2202.07147v1](http://arxiv.org/abs/2202.07147v1)|null|
|**2022-02-15**|**Graph Neural Network-Based Scheduling for Multi-UAV-Enabled Communications in D2D Networks**|Pei Li et.al.|[2202.07115v1](http://arxiv.org/abs/2202.07115v1)|null|
|**2022-02-14**|**Graph Neural Networks for Graphs with Heterophily: A Survey**|Xin Zheng et.al.|[2202.07082v1](http://arxiv.org/abs/2202.07082v1)|null|
|**2022-02-14**|**Semi-Equivariant GNN Architectures for Jet Tagging**|Daniel Murnane et.al.|[2202.06941v1](http://arxiv.org/abs/2202.06941v1)|null|
|**2022-02-14**|**Accelerating the Inference of the Exa.TrkX Pipeline**|Alina Lazar et.al.|[2202.06929v1](http://arxiv.org/abs/2202.06929v1)|null|
|**2022-02-14**|**A Graphical Approach For Brain Haemorrhage Segmentation**|Dr. Ninad Mehendale et.al.|[2202.06876v1](http://arxiv.org/abs/2202.06876v1)|null|
|**2022-02-14**|**Aspect Based Sentiment Analysis Using Spectral Temporal Graph Neural Network**|Abir Chakraborty et.al.|[2202.06776v1](http://arxiv.org/abs/2202.06776v1)|null|
|**2022-02-14**|**Improved Aggregating and Accelerating Training Methods for Spatial Graph Neural Networks on Fraud Detection**|Yufan Zeng et.al.|[2202.06580v1](http://arxiv.org/abs/2202.06580v1)|null|
|**2022-02-14**|**NEDMP: Neural Enhanced Dynamic Message Passing**|Fei Gao et.al.|[2202.06496v1](http://arxiv.org/abs/2202.06496v1)|null|
|**2022-02-13**|**Geometric deep learning reveals the spatiotemporal fingerprint of microscopic motion**|Jesús Pineda et.al.|[2202.06355v1](http://arxiv.org/abs/2202.06355v1)|null|
|**2022-02-13**|**Learning Asymmetric Embedding for Attributed Networks via Convolutional Neural Network**|Mohammadreza Radmanesh et.al.|[2202.06307v1](http://arxiv.org/abs/2202.06307v1)|null|
|**2022-02-13**|**Graph-adaptive Rectified Linear Unit for Graph Neural Networks**|Yifei Zhang et.al.|[2202.06281v1](http://arxiv.org/abs/2202.06281v1)|null|
|**2022-02-13**|**Fine-Grained Population Mobility Data-Based Community-Level COVID-19 Prediction Model**|Pengyue Jia et.al.|[2202.06257v1](http://arxiv.org/abs/2202.06257v1)|**[link](https://github.com/Jia-py/FGC-COVID)**|
|**2022-02-11**|**From Unsupervised to Few-shot Graph Anomaly Detection: A Multi-scale Contrastive Learning Approach**|Yu Zheng et.al.|[2202.05525v1](http://arxiv.org/abs/2202.05525v1)|null|
|**2022-02-10**|**Factored World Models for Zero-Shot Generalization in Robotic Manipulation**|Ondrej Biza et.al.|[2202.05333v1](http://arxiv.org/abs/2202.05333v1)|null|
|**2022-02-10**|**Graph Neural Network for Local Corruption Recovery**|Bingxin Zhou et.al.|[2202.04936v1](http://arxiv.org/abs/2202.04936v1)|**[link](https://github.com/bzho3923/magnet)**|
|**2022-02-10**|**Instance-wise algorithm configuration with graph neural networks**|Romeo Valentin et.al.|[2202.04910v1](http://arxiv.org/abs/2202.04910v1)|**[link](https://github.com/romeov/ml4co-competition)**|
|**2022-02-10**|**Survey on Graph Neural Network Acceleration: An Algorithmic Perspective**|Xin Liu et.al.|[2202.04822v1](http://arxiv.org/abs/2202.04822v1)|null|
|**2022-02-08**|**Boosting Graph Neural Networks by Injecting Pooling in Message Passing**|Hyeokjin Kwon et.al.|[2202.04768v1](http://arxiv.org/abs/2202.04768v1)|**[link](https://github.com/hookhy/bi-mp)**|
|**2022-02-09**|**Graph Neural Network for Cell Tracking in Microscopy Videos**|Tal Ben-Haim et.al.|[2202.04731v1](http://arxiv.org/abs/2202.04731v1)|null|
|**2022-02-09**|**Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs**|Cristian Bodnar et.al.|[2202.04579v1](http://arxiv.org/abs/2202.04579v1)|null|
|**2022-02-09**|**A Multimodal Canonical-Correlated Graph Neural Network for Energy-Efficient Speech Enhancement**|Leandro Aparecido Passos et.al.|[2202.04528v1](http://arxiv.org/abs/2202.04528v1)|null|
|**2022-02-08**|**FMP: Toward Fair Graph Message Passing against Topology Bias**|Zhimeng Jiang et.al.|[2202.04187v1](http://arxiv.org/abs/2202.04187v1)|null|
|**2022-02-08**|**Simplified Graph Convolution with Heterophily**|Sudhanshu Chanpuriya et.al.|[2202.04139v1](http://arxiv.org/abs/2202.04139v1)|null|
|**2022-02-08**|**Bandit Sampling for Multiplex Networks**|Cenk Baykal et.al.|[2202.03621v1](http://arxiv.org/abs/2202.03621v1)|null|
|**2022-02-07**|**Large-scale Personalized Video Game Recommendation via Social-aware Contextualized Graph Neural Network**|Liangwei Yang et.al.|[2202.03392v1](http://arxiv.org/abs/2202.03392v1)|null|
|**2022-02-07**|**Neighbor2Seq: Deep Learning on Massive Graphs by Transforming Neighbors to Sequences**|Meng Liu et.al.|[2202.03341v1](http://arxiv.org/abs/2202.03341v1)|**[link](https://github.com/divelab/neighbor2seq)**|
|**2022-02-07**|**Jet Flavour Tagging for Future Colliders with Fast Simulation**|Franco Bedeschi et.al.|[2202.03285v1](http://arxiv.org/abs/2202.03285v1)|null|
|**2022-02-08**|**A Variational Edge Partition Model for Supervised Graph Representation Learning**|Yilin He et.al.|[2202.03233v2](http://arxiv.org/abs/2202.03233v2)|null|
|**2022-02-07**|**Neural Models for Output-Space Invariance in Combinatorial Problems**|Yatin Nandwani et.al.|[2202.03229v1](http://arxiv.org/abs/2202.03229v1)|null|
|**2022-02-07**|**More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks**|Jing Xu et.al.|[2202.03195v1](http://arxiv.org/abs/2202.03195v1)|null|
|**2022-02-07**|**Structure-Aware Transformer for Graph Representation Learning**|Dexiong Chen et.al.|[2202.03036v1](http://arxiv.org/abs/2202.03036v1)|null|
|**2022-02-07**|**Graph Self-supervised Learning with Accurate Discrepancy Learning**|Dongki Kim et.al.|[2202.02989v1](http://arxiv.org/abs/2202.02989v1)|null|
|**2022-02-05**|**A Graph Neural Network Framework for Grid-Based Simulation**|Haoyu Tang et.al.|[2202.02652v1](http://arxiv.org/abs/2202.02652v1)|null|
|**2022-02-08**|**Differentially Private Graph Classification with GNNs**|Tamara T. Mueller et.al.|[2202.02575v2](http://arxiv.org/abs/2202.02575v2)|null|
|**2022-02-04**|**Rediscovering orbital mechanics with machine learning**|Pablo Lemos et.al.|[2202.02306v1](http://arxiv.org/abs/2202.02306v1)|null|
|**2022-02-03**|**Dynamic Virtual Network Embedding Algorithm based on Graph Convolution Neural Network and Reinforcement Learning**|Peiying Zhang et.al.|[2202.02140v1](http://arxiv.org/abs/2202.02140v1)|null|
|**2022-02-04**|**Multi-task graph neural networks for simultaneous prediction of global and atomic properties in ferromagnetic systems**|Massimiliano Lupo Pasini et.al.|[2202.01954v1](http://arxiv.org/abs/2202.01954v1)|null|
|**2022-02-03**|**Graph Coloring with Physics-Inspired Graph Neural Networks**|Martin J. A. Schuetz et.al.|[2202.01606v1](http://arxiv.org/abs/2202.01606v1)|null|
|**2022-02-03**|**Learning Mechanically Driven Emergent Behavior with Message Passing Neural Networks**|Peerasait Prachaseree et.al.|[2202.01380v1](http://arxiv.org/abs/2202.01380v1)|**[link](https://github.com/pprachas/abc_dataset)**|
|**2022-02-01**|**A Graph Based Neural Network Approach to Immune Profiling of Multiplexed Tissue Samples**|Natalia Garcia Martin et.al.|[2202.00813v1](http://arxiv.org/abs/2202.00813v1)|null|
|**2022-02-01**|**Gromov-Wasserstein Discrepancy with Local Differential Privacy for Distributed Structural Graphs**|Hongwei Jin et.al.|[2202.00808v1](http://arxiv.org/abs/2202.00808v1)|null|
|**2022-02-01**|**Investigating Transfer Learning in Graph Neural Networks**|Nishai Kooverjee et.al.|[2202.00740v1](http://arxiv.org/abs/2202.00740v1)|null|
|**2022-02-01**|**Physical Design using Differentiable Learned Simulators**|Kelsey R. Allen et.al.|[2202.00728v1](http://arxiv.org/abs/2202.00728v1)|null|
|**2022-02-04**|**Stability and Generalization Capabilities of Message Passing Graph Neural Networks**|Sohir Maskey et.al.|[2202.00645v2](http://arxiv.org/abs/2202.00645v2)|null|
|**2022-02-01**|**Molecular Graph Representation Learning via Heterogeneous Motif Graph Construction**|Zhaoning Yu et.al.|[2202.00529v1](http://arxiv.org/abs/2202.00529v1)|null|
|**2022-02-01**|**MotifExplainer: a Motif-based Graph Neural Network Explainer**|Zhaoning Yu et.al.|[2202.00519v1](http://arxiv.org/abs/2202.00519v1)|null|
|**2022-02-01**|**Memory-based Message Passing: Decoupling the Message for Propogation from Discrimination**|Jie Chen et.al.|[2202.00423v1](http://arxiv.org/abs/2202.00423v1)|null|
|**2022-02-02**|**Dimensionality Reduction Meets Message Passing for Graph Node Embeddings**|Krzysztof Sadowski et.al.|[2202.00408v2](http://arxiv.org/abs/2202.00408v2)|**[link](https://github.com/ksadowski13/PCAPass)**|
|**2022-02-01**|**Graph-based Neural Acceleration for Nonnegative Matrix Factorization**|Jens Sjölund et.al.|[2202.00264v1](http://arxiv.org/abs/2202.00264v1)|null|
|**2022-02-01**|**GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks**|Yixuan He et.al.|[2202.00211v1](http://arxiv.org/abs/2202.00211v1)|null|
|**2022-02-01**|**Semi-supervised 3D Object Detection via Temporal Graph Neural Networks**|Jianren Wang et.al.|[2202.00182v1](http://arxiv.org/abs/2202.00182v1)|null|
|**2022-01-31**|**SUGAR: Efficient Subgraph-level Training via Resource-aware Graph Partitioning**|Zihui Xue et.al.|[2202.00075v1](http://arxiv.org/abs/2202.00075v1)|null|
|**2022-01-31**|**Weisfeiler and Leman Go Infinite: Spectral and Combinatorial Pre-Colorings**|Or Feldman et.al.|[2201.13410v1](http://arxiv.org/abs/2201.13410v1)|**[link](https://github.com/tpfi22/spectral-and-combinatorial)**|
|**2022-01-31**|**Compositional Multi-Object Reinforcement Learning with Linear Relation Networks**|Davide Mambelli et.al.|[2201.13388v1](http://arxiv.org/abs/2201.13388v1)|null|
|**2022-01-31**|**Learning Robust Representation through Graph Adversarial Contrastive Learning**|Jiayan Guo et.al.|[2201.13025v1](http://arxiv.org/abs/2201.13025v1)|null|
|**2022-01-31**|**GSN: A Universal Graph Neural Network Inspired by Spring Network**|Guanyu Cui et.al.|[2201.12994v1](http://arxiv.org/abs/2201.12994v1)|null|
|**2022-01-31**|**Interpretable and Generalizable Graph Learning via Stochastic Attention Mechanism**|Siqi Miao et.al.|[2201.12987v1](http://arxiv.org/abs/2201.12987v1)|**[link](https://github.com/Graph-COM/GSAT)**|
|**2022-01-30**|**A Theoretical Comparison of Graph Neural Network Extensions**|Pál András Papp et.al.|[2201.12884v1](http://arxiv.org/abs/2201.12884v1)|null|
|**2022-01-30**|**DeepCatra: Learning Flow- and Graph-based Behaviors for Android Malware Detection**|Yafei Wu et.al.|[2201.12876v1](http://arxiv.org/abs/2201.12876v1)|null|
|**2022-01-30**|**Discovering Invariant Rationales for Graph Neural Networks**|Ying-Xin Wu et.al.|[2201.12872v1](http://arxiv.org/abs/2201.12872v1)|**[link](https://github.com/wuyxin/dir-gnn)**|
|**2022-01-30**|**On Recoverability of Graph Neural Network Representations**|Maxim Fishman et.al.|[2201.12843v1](http://arxiv.org/abs/2201.12843v1)|**[link](https://github.com/anonymous1252022/recoverability)**|
|**2022-01-30**|**Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Mixed Traffic Environments**|Qi Liu et.al.|[2201.12776v1](http://arxiv.org/abs/2201.12776v1)|**[link](https://github.com/jacklinkk/torchgrl)**|
|**2022-01-28**|**RiskNet: Neural Risk Assessment in Networks of Unreliable Resources**|Krzysztof Rusek et.al.|[2201.12263v1](http://arxiv.org/abs/2201.12263v1)|null|
|**2022-01-28**|**Neural Approximation of Extended Persistent Homology on Graphs**|Zuoyu Yan et.al.|[2201.12032v1](http://arxiv.org/abs/2201.12032v1)|null|
|**2022-01-28**|**Learning to Simulate Unseen Physical Systems with Graph Neural Networks**|Ce Yang et.al.|[2201.11976v1](http://arxiv.org/abs/2201.11976v1)|null|
|**2022-01-27**|**Algorithm Selection for Software Verification using Graph Attention Networks**|Will Leeson et.al.|[2201.11711v1](http://arxiv.org/abs/2201.11711v1)|null|
|**2022-01-27**|**FairMod: Fair Link Prediction and Recommendation via Graph Modification**|Sean Current et.al.|[2201.11596v1](http://arxiv.org/abs/2201.11596v1)|null|
|**2022-01-27**|**Density-Aware Hyper-Graph Neural Networks for Graph-based Semi-supervised Node Classification**|Jianpeng Liao et.al.|[2201.11511v1](http://arxiv.org/abs/2201.11511v1)|null|
|**2022-01-27**|**Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift**|Hongrui Liu et.al.|[2201.11349v1](http://arxiv.org/abs/2201.11349v1)|null|
|**2022-01-27**|**A Higher-Order Semantic Dependency Parser**|Bin Li et.al.|[2201.11312v1](http://arxiv.org/abs/2201.11312v1)|**[link](https://github.com/libinnlp/hosdp)**|
|**2022-01-26**|**On the Power of Gradual Network Alignment Using Dual-Perception Similarities**|Jin-Duk Park et.al.|[2201.10945v1](http://arxiv.org/abs/2201.10945v1)|null|
|**2022-01-27**|**Causality and Correlation Graph Modeling for Effective and Explainable Session-based Recommendation**|Cong Geng et.al.|[2201.10782v2](http://arxiv.org/abs/2201.10782v2)|null|
|**2022-01-26**|**Graph Neural Networks with Dynamic and Static Representations for Social Recommendation**|Junfa Lin et.al.|[2201.10751v1](http://arxiv.org/abs/2201.10751v1)|null|
|**2022-01-24**|**A Method to Predict Semantic Relations on Artificial Intelligence Papers**|Francisco Andrades et.al.|[2201.10518v1](http://arxiv.org/abs/2201.10518v1)|null|
|**2022-01-25**|**What's Wrong with Deep Learning in Tree Search for Combinatorial Optimization**|Maximilian Böther et.al.|[2201.10494v1](http://arxiv.org/abs/2201.10494v1)|**[link](https://github.com/maxiboether/mis-benchmark-framework)**|
|**2022-01-28**|**ML4CO-KIDA: Knowledge Inheritance in Data Aggregation**|Zixuan Cao et.al.|[2201.10328v2](http://arxiv.org/abs/2201.10328v2)|**[link](https://github.com/megvii-research/neurips2021-ml4co-kida)**|
|**2022-01-25**|**Unboxing the graph: Neural Relational Inference for Mobility Prediction**|Mathias Niemann Tygesen et.al.|[2201.10307v1](http://arxiv.org/abs/2201.10307v1)|null|
|**2022-01-25**|**Convergence of Invariant Graph Networks**|Chen Cai et.al.|[2201.10129v1](http://arxiv.org/abs/2201.10129v1)|null|
|**2022-01-25**|**PowerGear: Early-Stage Power Estimation in FPGA HLS via Heterogeneous Edge-Centric GNNs**|Zhe Lin et.al.|[2201.10114v1](http://arxiv.org/abs/2201.10114v1)|null|
|**2022-01-24**|**On Evaluation Metrics for Graph Generative Models**|Rylee Thompson et.al.|[2201.09871v1](http://arxiv.org/abs/2201.09871v1)|**[link](https://github.com/uoguelph-mlrg/ggm-metrics)**|
|**2022-01-24**|**Graph Reinforcement Learning for Wireless Control Systems: Large-Scale Resource Allocation over Interference Channels**|Vinicius Lima et.al.|[2201.09859v1](http://arxiv.org/abs/2201.09859v1)|null|
|**2022-01-24**|**Neural Architecture Searching for Facial Attributes-based Depression Recognition**|Mingzhe Chen et.al.|[2201.09799v1](http://arxiv.org/abs/2201.09799v1)|null|
|**2022-01-24**|**Graph Neural Diffusion Networks for Semi-supervised Learning**|Wei Ye et.al.|[2201.09698v1](http://arxiv.org/abs/2201.09698v1)|**[link](https://github.com/yeweiysh/gnd-nets)**|
|**2022-01-24**|**DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery -- A Focus on Affinity Prediction Problems with Noise Annotations**|Yuanfeng Ji et.al.|[2201.09637v1](http://arxiv.org/abs/2201.09637v1)|null|
|**2022-01-23**|**Towards Private Learning on Decentralized Graphs with Local Differential Privacy**|Wanyu Lin et.al.|[2201.09398v1](http://arxiv.org/abs/2201.09398v1)|null|
|**2022-01-23**|**Partition-Based Active Learning for Graph Neural Networks**|Jiaqi Ma et.al.|[2201.09391v1](http://arxiv.org/abs/2201.09391v1)|null|
|**2022-01-23**|**Investigating Expressiveness of Transformer in Spectral Domain for Graphs**|Anson Bastos et.al.|[2201.09332v1](http://arxiv.org/abs/2201.09332v1)|null|
|**2022-01-23**|**Hardware/Software Co-Programmable Framework for Computational SSDs to Accelerate Deep Learning Service on Large-Scale Graphs**|Miryeong Kwon et.al.|[2201.09189v1](http://arxiv.org/abs/2201.09189v1)|null|
|**2022-01-22**|**HiSTGNN: Hierarchical Spatio-temporal Graph Neural Networks for Weather Forecasting**|Minbo Ma et.al.|[2201.09101v1](http://arxiv.org/abs/2201.09101v1)|null|
|**2022-01-21**|**Representing Long-Range Context for Graph Neural Networks with Global Attention**|Zhanghao Wu et.al.|[2201.08821v1](http://arxiv.org/abs/2201.08821v1)|**[link](https://github.com/ucbrise/graphtrans)**|
|**2022-01-21**|**Deconfounding to Explanation Evaluation in Graph Neural Networks**|Ying-Xin et.al.|[2201.08802v1](http://arxiv.org/abs/2201.08802v1)|null|
|**2022-01-21**|**Trustworthy Knowledge Graph Completion Based on Multi-sourced Noisy Data**|Jiacheng Huang et.al.|[2201.08580v1](http://arxiv.org/abs/2201.08580v1)|**[link](https://github.com/nju-websoft/tkgc)**|
|**2022-01-21**|**Fair Node Representation Learning via Adaptive Data Augmentation**|O. Deniz Kose et.al.|[2201.08549v1](http://arxiv.org/abs/2201.08549v1)|null|
|**2022-01-21**|**Learning Two-Step Hybrid Policy for Graph-Based Interpretable Reinforcement Learning**|Tongzhou Mu et.al.|[2201.08520v1](http://arxiv.org/abs/2201.08520v1)|null|
|**2022-01-20**|**GenGNN: A Generic FPGA Framework for Graph Neural Network Acceleration**|Stefan Abi-Karam et.al.|[2201.08475v1](http://arxiv.org/abs/2201.08475v1)|**[link](https://github.com/sharc-lab/gengnn)**|
|**2022-01-20**|**Hybrid Graph Models for Logic Optimization via Spatio-Temporal Information**|Nan Wu et.al.|[2201.08455v1](http://arxiv.org/abs/2201.08455v1)|null|
|**2022-01-20**|**Prediction of the electron density of states for crystalline compounds with Atomistic Line Graph Neural Networks (ALIGNN)**|Prathik R Kaundinya et.al.|[2201.08348v1](http://arxiv.org/abs/2201.08348v1)|null|
|**2022-01-21**|**An Efficient Lorentz Equivariant Graph Neural Network for Jet Tagging**|Shiqi Gong et.al.|[2201.08187v2](http://arxiv.org/abs/2201.08187v2)|null|
|**2022-01-20**|**Informative Pseudo-Labeling for Graph Neural Networks with Few Labels**|Yayong Li et.al.|[2201.07951v1](http://arxiv.org/abs/2201.07951v1)|null|
|**2022-01-19**|**Decoupling the Depth and Scope of Graph Neural Networks**|Hanqing Zeng et.al.|[2201.07858v1](http://arxiv.org/abs/2201.07858v1)|**[link](https://github.com/facebookresearch/shaDow_GNN)**|
|**2022-01-19**|**Cognitive Explainers of Graph Neural Networks Based on Medical Concepts**|Yingni Wang et.al.|[2201.07798v1](http://arxiv.org/abs/2201.07798v1)|null|
|**2022-01-19**|**Debiased Graph Neural Networks with Agnostic Label Selection Bias**|Shaohua Fan et.al.|[2201.07708v1](http://arxiv.org/abs/2201.07708v1)|null|
|**2022-01-20**|**Graph Neural Network-based Android Malware Classification with Jumping Knowledge**|Wai Weng Lo et.al.|[2201.07537v2](http://arxiv.org/abs/2201.07537v2)|null|
|**2022-01-18**|**A Short Tutorial on The Weisfeiler-Lehman Test And Its Variants**|Ningyuan Huang et.al.|[2201.07083v1](http://arxiv.org/abs/2201.07083v1)|null|
|**2022-01-18**|**Mining Fine-grained Semantics via Graph Neural Networks for Evidence-based Fake News Detection**|Weizhi Xu et.al.|[2201.06885v1](http://arxiv.org/abs/2201.06885v1)|null|
|**2022-01-18**|**High-Level Synthesis Performance Prediction using GNNs: Benchmarking, Modeling, and Advancing**|Nan Wu et.al.|[2201.06848v1](http://arxiv.org/abs/2201.06848v1)|null|
|**2022-01-17**|**Longitudinal Spin Transfer to $Λ$ Hyperons in CLAS12**|Matthew McEneaney et.al.|[2201.06480v1](http://arxiv.org/abs/2201.06480v1)|null|
|**2022-01-17**|**Towards Unsupervised Deep Graph Structure Learning**|Yixin Liu et.al.|[2201.06367v1](http://arxiv.org/abs/2201.06367v1)|**[link](https://github.com/grand-lab/sublime)**|
|**2022-01-17**|**Graph Neural Networks for Cross-Camera Data Association**|Elena Luna et.al.|[2201.06311v1](http://arxiv.org/abs/2201.06311v1)|null|
|**2022-01-15**|**Edge-based Tensor prediction via graph neural networks**|Yang Zhong et.al.|[2201.05770v1](http://arxiv.org/abs/2201.05770v1)|null|
|**2022-01-15**|**Predicting Research Trends in Artificial Intelligence with Gradient Boosting Decision Trees and Time-aware Graph Neural Networks**|Yichao Lu et.al.|[2201.05743v1](http://arxiv.org/abs/2201.05743v1)|**[link](https://github.com/yichaolu/science4cast2021)**|
|**2022-01-14**|**Formula graph self-attention network for representation-domain independent materials discovery**|Achintha Ihalage et.al.|[2201.05649v1](http://arxiv.org/abs/2201.05649v1)|null|
|**2022-01-14**|**Compact Graph Structure Learning via Mutual Information Compression**|Nian Liu et.al.|[2201.05540v1](http://arxiv.org/abs/2201.05540v1)|**[link](https://github.com/liun-online/cogsl)**|
|**2022-01-14**|**Collaborative learning of images and geometrics for predicting isocitrate dehydrogenase status of glioma**|Yiran Wei et.al.|[2201.05530v1](http://arxiv.org/abs/2201.05530v1)|null|
|**2022-01-14**|**Training Free Graph Neural Networks for Graph Matching**|Zhiyuan Liu et.al.|[2201.05349v1](http://arxiv.org/abs/2201.05349v1)|**[link](https://github.com/acharkq/training-free-graph-matching)**|
|**2022-01-14**|**Structure Enhanced Graph Neural Networks for Link Prediction**|Baole Ai et.al.|[2201.05293v1](http://arxiv.org/abs/2201.05293v1)|null|
|**2022-01-13**|**Decompositional Quantum Graph Neural Network**|Xing Ai et.al.|[2201.05158v1](http://arxiv.org/abs/2201.05158v1)|null|
|**2022-01-13**|**Multi-Scale Adaptive Graph Neural Network for Multivariate Time Series Forecasting**|Ling Chen et.al.|[2201.04828v1](http://arxiv.org/abs/2201.04828v1)|**[link](https://github.com/shangzongjiang/magnn)**|
|**2022-01-11**|**Quasi-Framelets: Another Improvement to GraphNeural Networks**|Mengxi Yang et.al.|[2201.04728v1](http://arxiv.org/abs/2201.04728v1)|null|
|**2022-01-12**|**How Can Graph Neural Networks Help Document Retrieval: A Case Study on CORD19 with Concept Map Generation**|Hejie Cui et.al.|[2201.04672v1](http://arxiv.org/abs/2201.04672v1)|null|
|**2022-01-12**|**GraphVAMPNet, using graph neural networks and variational approach to markov processes for dynamical modeling of biomolecules**|Mahdi Ghorbani et.al.|[2201.04609v1](http://arxiv.org/abs/2201.04609v1)|null|
|**2022-01-12**|**Structure and position-aware graph neural network for airway labeling**|Weiyi Xie et.al.|[2201.04532v1](http://arxiv.org/abs/2201.04532v1)|null|
|**2022-01-11**|**State Estimation in Electric Power Systems Leveraging Graph Neural Networks**|Ognjen Kundacina et.al.|[2201.04056v1](http://arxiv.org/abs/2201.04056v1)|null|
|**2022-01-11**|**Graph Neural Network Aided Expectation Propagation Detector for MU-MIMO Systems**|Alva Kosasih et.al.|[2201.03731v1](http://arxiv.org/abs/2201.03731v1)|null|
|**2022-01-12**|**FairEdit: Preserving Fairness in Graph Neural Networks through Greedy Graph Editing**|Donald Loveland et.al.|[2201.03681v2](http://arxiv.org/abs/2201.03681v2)|**[link](https://github.com/royull/fairedit)**|
|**2022-01-10**|**Neuroplastic graph attention networks for nuclei segmentation in histopathology images**|Yoav Alon et.al.|[2201.03669v1](http://arxiv.org/abs/2201.03669v1)|null|
|**2022-01-11**|**Disentangled Graph Neural Networks for Session-based Recommendation**|Ansong Li et.al.|[2201.03482v2](http://arxiv.org/abs/2201.03482v2)|null|