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 year 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 (over 4 years ago)
- Default Branch: main
- Last Pushed: 2022-04-12T12:01:01.000Z (about 4 years ago)
- Last Synced: 2024-08-02T00:21:34.973Z (almost 2 years 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 A