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Others"],"readme":"# entity-related-papers\n\n### [TACL 2024](https://aclanthology.org/events/tacl-2024/)\n\n\n#### NER\n\n#### EL\n\n#### Entity Typing\n\n#### Entity Representations / Embeddings\n\n#### misc\n### [CoNLL 2024](https://aclanthology.org/events/conll-2024/) (2024/11/15 ~ 2024/11/16)\n\n\n#### NER\n\n#### EL\n\n#### Entity Typing\n\n#### Entity Representations / Embeddings\n\n#### misc\n### [EMNLP 2024](https://aclanthology.org/events/emnlp-2024/) (2024/11/12 ~ 2024/11/16)\n\n\n#### NER\n- [Cross-domain NER with Generated Task-Oriented Knowledge: An Empirical Study from Information Density Perspective](https://aclanthology.org/2024.emnlp-main.95/)\n- [Exploring Nested Named Entity Recognition with Large Language Models: Methods, Challenges, and Insights](https://aclanthology.org/2024.emnlp-main.492/)\n- [NuNER: Entity Recognition Encoder Pre-training via LLM-Annotated Data](https://aclanthology.org/2024.emnlp-main.660/)\n- [Zero-Shot Cross-Lingual NER Using Phonemic Representations for Low-Resource Languages](https://aclanthology.org/2024.emnlp-main.753/)\n- [Embedded Named Entity Recognition using Probing Classifiers](https://aclanthology.org/2024.emnlp-main.988/)\n- [NoiseBench: Benchmarking the Impact of Real Label Noise on Named Entity Recognition](https://aclanthology.org/2024.emnlp-main.1011/)\n- [Are Data Augmentation Methods in Named Entity Recognition Applicable for Uncertainty Estimation?](https://aclanthology.org/2024.emnlp-main.1049/)\n- [A Fast and Sound Tagging Method for Discontinuous Named-Entity Recognition](https://aclanthology.org/2024.emnlp-main.1087/)\n- [Improving Few-Shot Cross-Domain Named Entity Recognition by Instruction Tuning a Word-Embedding based Retrieval Augmented Large Language Model](https://aclanthology.org/2024.emnlp-industry.51/)\n- [Breaking the Boundaries: A Unified Framework for Chinese Named Entity Recognition Across Text and Speech](https://aclanthology.org/2024.findings-emnlp.67/)\n- [Double-Checker: Large Language Model as a Checker for Few-shot Named Entity Recognition](https://aclanthology.org/2024.findings-emnlp.180/)\n- [Granular Entity Mapper: Advancing Fine-grained Multimodal Named Entity Recognition and Grounding](https://aclanthology.org/2024.findings-emnlp.183/)\n- [Few-shot clinical entity recognition in English, French and Spanish: masked language models outperform generative model prompting](https://aclanthology.org/2024.findings-emnlp.400/)\n- [ITER: Iterative Transformer-based Entity Recognition and Relation Extraction](https://aclanthology.org/2024.findings-emnlp.655/)\n- [Cross-Lingual Named Entity Recognition for Low-Resource Languages: A Hindi-Nepali Case Study Using Multilingual BERT Models](https://aclanthology.org/2024.mrl-1.12/)\n\n#### EL\n- [OneNet: A Fine-Tuning Free Framework for Few-Shot Entity Linking via Large Language Model Prompting](https://aclanthology.org/2024.emnlp-main.756/)\n- [RoCEL: Advancing Table Entity Linking through Distinctive Row and Column Contexts](https://aclanthology.org/2024.emnlp-main.853/)\n- [Entity Insertion in Multilingual Linked Corpora: The Case of Wikipedia](https://aclanthology.org/2024.emnlp-main.1268/)\n\n#### Entity Typing\n\n#### Entity Representations / Embeddings\n- [Entity or Relation Embeddings? An Analysis of Encoding Strategies for Relation Extraction](https://aclanthology.org/2024.findings-emnlp.348/)\n- [Block-Diagonal Orthogonal Relation and Matrix Entity for Knowledge Graph Embedding](https://aclanthology.org/2024.findings-emnlp.987/)\n\n#### misc\n- [DyVo: Dynamic Vocabularies for Learned Sparse Retrieval with Entities](https://aclanthology.org/2024.emnlp-main.45/)\n- [MAR: Matching-Augmented Reasoning for Enhancing Visual-based Entity Question Answering](https://aclanthology.org/2024.emnlp-main.91/)\n- [Multi-Granularity History and Entity Similarity Learning for Temporal Knowledge Graph Reasoning](https://aclanthology.org/2024.emnlp-main.298/)\n- [Learning from Natural Language Explanations for Generalizable Entity Matching](https://aclanthology.org/2024.emnlp-main.352/)\n- [Contrastive Entity Coreference and Disambiguation for Historical Texts](https://aclanthology.org/2024.emnlp-main.355/)\n- [Learning to Extract Structured Entities Using Language Models](https://aclanthology.org/2024.emnlp-main.388/)\n- [Large Language Models Know What is Key Visual Entity: An LLM-assisted Multimodal Retrieval for VQA](https://aclanthology.org/2024.emnlp-main.613/)\n- [Major Entity Identification: A Generalizable Alternative to Coreference Resolution](https://aclanthology.org/2024.emnlp-main.652/)\n- [SciER: An Entity and Relation Extraction Dataset for Datasets, Methods, and Tasks in Scientific Documents](https://aclanthology.org/2024.emnlp-main.726/)\n- [Chain and Causal Attention for Efficient Entity Tracking](https://aclanthology.org/2024.emnlp-main.731/)\n- [DynamicER: Resolving Emerging Mentions to Dynamic Entities for RAG](https://aclanthology.org/2024.emnlp-main.762/)\n- [ECIS-VQG: Generation of Entity-centric Information-seeking Questions from Videos](https://aclanthology.org/2024.emnlp-main.798/)\n- [Unsupervised Named Entity Disambiguation for Low Resource Domains](https://aclanthology.org/2024.emnlp-main.830/)\n- [MoCoKGC: Momentum Contrast Entity Encoding for Knowledge Graph Completion](https://aclanthology.org/2024.emnlp-main.832/)\n- [Efficient Overshadowed Entity Disambiguation by Mitigating Shortcut Learning](https://aclanthology.org/2024.emnlp-main.855/)\n- [VIEWS: Entity-Aware News Video Captioning](https://aclanthology.org/2024.emnlp-main.1128/)\n- [Visual Text Matters: Improving Text-KVQA with Visual Text Entity Knowledge-aware Large Multimodal Assistant](https://aclanthology.org/2024.emnlp-main.1151/)\n- [IFCap: Image-like Retrieval and Frequency-based Entity Filtering for Zero-shot Captioning](https://aclanthology.org/2024.emnlp-main.1153/)\n- [Optimizing Entity Resolution in Voice Interfaces: An ASR-Aware Entity Reference Expansion Approach](https://aclanthology.org/2024.emnlp-industry.1/)\n- [Predicting Entity Salience in Extremely Short Documents](https://aclanthology.org/2024.emnlp-industry.5/)\n- [SnapNTell: Enhancing Entity-Centric Visual Question Answering with Retrieval Augmented Multimodal LLM](https://aclanthology.org/2024.findings-emnlp.14/)\n- [MM-ChatAlign: A Novel Multimodal Reasoning Framework based on Large Language Models for Entity Alignment](https://aclanthology.org/2024.findings-emnlp.148/)\n- [A Deep Analysis of the Impact of Multiword Expressions and Named Entities on Chinese-English Machine Translations](https://aclanthology.org/2024.findings-emnlp.357/)\n- [Advancing Cross-Lingual Entity Alignment with Large Language Models: Tailored Sample Segmentation and Zero-Shot Prompts](https://aclanthology.org/2024.findings-emnlp.475/)\n- [Adaptive Token Biaser: Knowledge Editing via Biasing Key Entities](https://aclanthology.org/2024.findings-emnlp.647/)\n- [NALA: an Effective and Interpretable Entity Alignment Method](https://aclanthology.org/2024.findings-emnlp.806/)\n- [Extractive Medical Entity Disambiguation with Memory Mechanism and Memorized Entity Information](https://aclanthology.org/2024.findings-emnlp.810/)\n- [Major Entity Identification: A Generalizable Alternative to Coreference Resolution](https://aclanthology.org/2024.crac-1.1/)\n### [ACL 2024](https://aclanthology.org/events/acl-2024/) (2024/08/11 ~ 2024/08/16)\n\n\n#### NER\n- [VerifiNER: Verification-augmented NER via Knowledge-grounded Reasoning with Large Language Models](https://aclanthology.org/2024.acl-long.134/)\n- [Hypergraph based Understanding for Document Semantic Entity Recognition](https://aclanthology.org/2024.acl-long.162/)\n- [DiFiNet: Boundary-Aware Semantic Differentiation and Filtration Network for Nested Named Entity Recognition](https://aclanthology.org/2024.acl-long.349/)\n- [Order-Agnostic Data Augmentation for Few-Shot Named Entity Recognition](https://aclanthology.org/2024.acl-long.421/)\n- [LIEDER: Linguistically-Informed Evaluation for Discourse Entity Recognition](https://aclanthology.org/2024.acl-long.746/)\n- [Guidance-Based Prompt Data Augmentation in Specialized Domains for Named Entity Recognition](https://aclanthology.org/2024.acl-short.61/)\n- [Boosting Textural NER with Synthetic Image and Instructive Alignment](https://aclanthology.org/2024.findings-acl.74/)\n- [LLMs as Bridges: Reformulating Grounded Multimodal Named Entity Recognition](https://aclanthology.org/2024.findings-acl.76/)\n- [Flexible Weight Tuning and Weight Fusion Strategies for Continual Named Entity Recognition](https://aclanthology.org/2024.findings-acl.79/)\n- [Chinese Spoken Named Entity Recognition in Real-world Scenarios: Dataset and Approaches](https://aclanthology.org/2024.findings-acl.111/)\n- [Rethinking Negative Instances for Generative Named Entity Recognition](https://aclanthology.org/2024.findings-acl.206/)\n- [Improving the Robustness of Distantly-Supervised Named Entity Recognition via Uncertainty-Aware Teacher Learning and Student-Student Collaborative Learning](https://aclanthology.org/2024.findings-acl.329/)\n- [Pushing the Limits of Low-Resource NER Using LLM Artificial Data Generation](https://aclanthology.org/2024.findings-acl.575/)\n- [PPTSER: A Plug-and-Play Tag-guided Method for Few-shot Semantic Entity Recognition on Visually-rich Documents](https://aclanthology.org/2024.findings-acl.626/)\n- [ProgGen: Generating Named Entity Recognition Datasets Step-by-step with Self-Reflexive Large Language Models](https://aclanthology.org/2024.findings-acl.947/)\n- [WojoodNER 2024: The Second Arabic Named Entity Recognition Shared Task](https://aclanthology.org/2024.arabicnlp-1.101/)\n- [muNERa at WojoodNER 2024: Multi-tasking NER Approach](https://aclanthology.org/2024.arabicnlp-1.102/)\n- [Addax at WojoodNER 2024: Attention-Based Dual-Channel Neural Network for Arabic Named Entity Recognition](https://aclanthology.org/2024.arabicnlp-1.103/)\n- [Bangor University at WojoodNER 2024: Advancing Arabic Named Entity Recognition with CAMeLBERT-Mix](https://aclanthology.org/2024.arabicnlp-1.105/)\n- [mucAI at WojoodNER 2024: Arabic Named Entity Recognition with Nearest Neighbor Search](https://aclanthology.org/2024.arabicnlp-1.107/)\n- [REAL: A Retrieval-Augmented Entity Linking Approach for Biomedical Concept Recognition](https://aclanthology.org/2024.bionlp-1.29/)\n- [An end-to-end entity recognition and disambiguation framework for identifying Author Affiliation from literature publications](https://aclanthology.org/2024.sdp-1.11/)\n- [Team Yseop at #SMM4H 2024: Multilingual Pharmacovigilance Named Entity Recognition and Relation Extraction](https://aclanthology.org/2024.smm4h-1.32/)\n\n#### EL\n- [MELOV: Multimodal Entity Linking with Optimized Visual Features in Latent Space](https://aclanthology.org/2024.findings-acl.46/)\n- [Optimal Transport Guided Correlation Assignment for Multimodal Entity Linking](https://aclanthology.org/2024.findings-acl.243/)\n- [Trust in Internal or External Knowledge? Generative Multi-Modal Entity Linking with Knowledge Retriever](https://aclanthology.org/2024.findings-acl.450/)\n- [Real World Conversational Entity Linking Requires More Than Zero-Shots](https://aclanthology.org/2024.findings-acl.829/)\n- [ReLiK: Retrieve and LinK, Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget](https://aclanthology.org/2024.findings-acl.839/)\n- [Wiki-VEL: Visual Entity Linking for Structured Data on Wikimedia Commons](https://aclanthology.org/2024.alvr-1.16/)\n- [Efficient Biomedical Entity Linking: Clinical Text Standardization with Low-Resource Techniques](https://aclanthology.org/2024.bionlp-1.40/)\n- [CLIMATELI: Evaluating Entity Linking on Climate Change Data](https://aclanthology.org/2024.climatenlp-1.16/)\n- [Synthetic Context with LLM for Entity Linking from Scientific Tables](https://aclanthology.org/2024.sdp-1.19/)\n- [Adversarial Learning for Multi-Lingual Entity Linking](https://aclanthology.org/2024.sighan-1.4/)\n\n#### Entity Typing\n- [Scented-EAE: Stage-Customized Entity Type Embedding for Event Argument Extraction](https://aclanthology.org/2024.findings-acl.309/)\n\n#### Entity Representations / Embeddings\n\n#### misc\n- [Transitive Consistency Constrained Learning for Entity-to-Entity Stance Detection](https://aclanthology.org/2024.acl-long.80/)\n- [CopyNE: Better Contextual ASR by Copying Named Entities](https://aclanthology.org/2024.acl-long.147/)\n- [Progressively Modality Freezing for Multi-Modal Entity Alignment](https://aclanthology.org/2024.acl-long.190/)\n- [Unlocking the Power of Large Language Models for Entity Alignment](https://aclanthology.org/2024.acl-long.408/)\n- [ERA-CoT: Improving Chain-of-Thought through Entity Relationship Analysis](https://aclanthology.org/2024.acl-long.476/)\n- [Towards Better Graph-based Cross-document Relation Extraction via Non-bridge Entity Enhancement and Prediction Debiasing](https://aclanthology.org/2024.findings-acl.38/)\n- [MIKE: A New Benchmark for Fine-grained Multimodal Entity Knowledge Editing](https://aclanthology.org/2024.findings-acl.298/)\n- [LEIA: Facilitating Cross-lingual Knowledge Transfer in Language Models with Entity-based Data Augmentation](https://aclanthology.org/2024.findings-acl.419/)\n- [Ranking Entities along Conceptual Space Dimensions with LLMs: An Analysis of Fine-Tuning Strategies](https://aclanthology.org/2024.findings-acl.474/)\n- [Description Boosting for Zero-Shot Entity and Relation Classification](https://aclanthology.org/2024.findings-acl.562/)\n- [Leveraging Entity Information for Cross-Modality Correlation Learning: The Entity-Guided Multimodal Summarization](https://aclanthology.org/2024.findings-acl.587/)\n- [Addressing Entity Translation Problem via Translation Difficulty and Context Diversity](https://aclanthology.org/2024.findings-acl.691/)\n- [RadGraph-XL: A Large-Scale Expert-Annotated Dataset for Entity and Relation Extraction from Radiology Reports](https://aclanthology.org/2024.findings-acl.765/)\n- [Light Up the Shadows: Enhance Long-Tailed Entity Grounding with Concept-Guided Vision-Language Models](https://aclanthology.org/2024.findings-acl.793/)\n- [On the Robustness of Document-Level Relation Extraction Models to Entity Name Variations](https://aclanthology.org/2024.findings-acl.969/)\n- [Document-level Clinical Entity and Relation extraction via Knowledge Base-Guided Generation](https://aclanthology.org/2024.bionlp-1.24/)\n- [CID at RRG24: Attempting in a Conditionally Initiated Decoding of Radiology Report Generation with Clinical Entities](https://aclanthology.org/2024.bionlp-1.49/)\n- [Charles Locock, Lowcock or Lockhart? Offline Speech Translation: Test Suite for Named Entities](https://aclanthology.org/2024.iwslt-1.35/)\n- [HBUT at #SMM4H 2024 Task2: Cross-lingual Few-shot Medical Entity Extraction using a Large Language Model](https://aclanthology.org/2024.smm4h-1.13/)\n- [UKYNLP@SMM4H2024: Language Model Methods for Health Entity Tagging and Classification on Social Media (Tasks 4 \u0026 5)](https://aclanthology.org/2024.smm4h-1.29/)\n- [Entity-Level Sentiment: More than the Sum of Its Parts](https://aclanthology.org/2024.wassa-1.8/)\n### [NAACL 2024](https://aclanthology.org/events/naacl-2024/) (2024/06/16 ~ 2024/06/21)\n\n\n#### NER\n- [Named Entity Recognition Under Domain Shift via Metric Learning for Life Sciences](https://aclanthology.org/2024.naacl-long.1/)\n- [Universal NER: A Gold-Standard Multilingual Named Entity Recognition Benchmark](https://aclanthology.org/2024.naacl-long.243/)\n- [A Comprehensive Study of Gender Bias in Chemical Named Entity Recognition Models](https://aclanthology.org/2024.naacl-long.245/)\n- [GLiNER: Generalist Model for Named Entity Recognition using Bidirectional Transformer](https://aclanthology.org/2024.naacl-long.300/)\n- [SCANNER: Knowledge-Enhanced Approach for Robust Multi-modal Named Entity Recognition of Unseen Entities](https://aclanthology.org/2024.naacl-long.427/)\n- [CNER: Concept and Named Entity Recognition](https://aclanthology.org/2024.naacl-long.461/)\n- [Self-Improving for Zero-Shot Named Entity Recognition with Large Language Models](https://aclanthology.org/2024.naacl-short.49/)\n- [Fine-tuning Pre-trained Named Entity Recognition Models For Indian Languages](https://aclanthology.org/2024.naacl-srw.9/)\n- [Search Query Refinement for Japanese Named Entity Recognition in E-commerce Domain](https://aclanthology.org/2024.naacl-industry.39/)\n- [Self-Cleaning: Improving a Named Entity Recognizer Trained on Noisy Data with a Few Clean Instances](https://aclanthology.org/2024.findings-naacl.14/)\n- [Building A German Clinical Named Entity Recognition System without In-domain Training Data](https://aclanthology.org/2024.clinicalnlp-1.7/)\n- [A Privacy-Preserving Corpus for Occupational Health in Spanish: Evaluation for NER and Classification Tasks](https://aclanthology.org/2024.clinicalnlp-1.11/)\n\n#### EL\n- [Unified Examination of Entity Linking in Absence of Candidate Sets](https://aclanthology.org/2024.naacl-short.11/)\n- [GenDecider: Integrating “None of the Candidates” Judgments in Zero-Shot Entity Linking Re-ranking](https://aclanthology.org/2024.naacl-short.22/)\n- [REXEL: An End-to-end Model for Document-Level Relation Extraction and Entity Linking](https://aclanthology.org/2024.naacl-industry.11/)\n- [Leveraging Wikidata for Biomedical Entity Linking in a Low-Resource Setting: A Case Study for German](https://aclanthology.org/2024.clinicalnlp-1.17/)\n- [Where on Earth Do Users Say They Are?: Geo-Entity Linking for Noisy Multilingual User Input](https://aclanthology.org/2024.nlpcss-1.7/)\n\n#### Entity Typing\n- [The Integration of Semantic and Structural Knowledge in Knowledge Graph Entity Typing](https://aclanthology.org/2024.naacl-long.369/)\n\n#### Entity Representations / Embeddings\n- [Biomedical Entity Representation with Graph-Augmented Multi-Objective Transformer](https://aclanthology.org/2024.findings-naacl.288/)\n\n#### misc\n- [Entity Disambiguation via Fusion Entity Decoding](https://aclanthology.org/2024.naacl-long.363/)\n- [Pre-trained Language Models for Entity Blocking: A Reproducibility Study](https://aclanthology.org/2024.naacl-long.483/)\n- [Leveraging Contextual Information for Effective Entity Salience Detection](https://aclanthology.org/2024.findings-naacl.28/)\n- [TagDebias: Entity and Concept Tagging for Social Bias Mitigation in Pretrained Language Models](https://aclanthology.org/2024.findings-naacl.101/)\n- [Visual Enhanced Entity-Level Interaction Network for Multimodal Summarization](https://aclanthology.org/2024.findings-naacl.206/)\n- [HSE NLP Team at MEDIQA-CORR 2024 Task: In-Prompt Ensemble with Entities and Knowledge Graph for Medical Error Correction](https://aclanthology.org/2024.clinicalnlp-1.47/)\n- [APE: Active Learning-based Tooling for Finding Informative Few-shot Examples for LLM-based Entity Matching](https://aclanthology.org/2024.dash-1.1/)\n- [Japanese Rule-based Grapheme-to-phoneme Conversion System and Multilingual Named Entity Dataset with International Phonetic Alphabet](https://aclanthology.org/2024.sigmorphon-1.9/)\n### [LREC-COLING 2024](https://aclanthology.org/events/coling-2024/) (2024/05/20 ~ 2024/05/25)\n\n\n#### NER\n- [A Benchmark Evaluation of Clinical Named Entity Recognition in French](https://aclanthology.org/2024.lrec-main.2/)\n- [A Corpus and Method for Chinese Named Entity Recognition in Manufacturing](https://aclanthology.org/2024.lrec-main.24/)\n- [Active Learning Design Choices for NER with Transformers](https://aclanthology.org/2024.lrec-main.30/)\n- [A Dataset for Named Entity Recognition and Entity Linking in Chinese Historical Newspapers](https://aclanthology.org/2024.lrec-main.35/)\n- [An Effective Span-based Multimodal Named Entity Recognition with Consistent Cross-Modal Alignment](https://aclanthology.org/2024.lrec-main.95/)\n- [A Novel Three-stage Framework for Few-shot Named Entity Recognition](https://aclanthology.org/2024.lrec-main.116/)\n- [A Streamlined Span-based Factorization Method for Few Shot Named Entity Recognition](https://aclanthology.org/2024.lrec-main.147/)\n- [Attack Named Entity Recognition by Entity Boundary Interference](https://aclanthology.org/2024.lrec-main.153/)\n- [Conjoin after Decompose: Improving Few-Shot Performance of Named Entity Recognition](https://aclanthology.org/2024.lrec-main.329/)\n- [Curation of Benchmark Templates for Measuring Gender Bias in Named Entity Recognition Models](https://aclanthology.org/2024.lrec-main.378/)\n- [DANCER: Entity Description Augmented Named Entity Corrector for Automatic Speech Recognition](https://aclanthology.org/2024.lrec-main.387/)\n- [Decompose, Prioritize, and Eliminate: Dynamically Integrating Diverse Representations for Multimodal Named Entity Recognition](https://aclanthology.org/2024.lrec-main.403/)\n- [Deep Learning Based Named Entity Recognition Models for Recipes](https://aclanthology.org/2024.lrec-main.406/)\n- [ELLEN: Extremely Lightly Supervised Learning for Efficient Named Entity Recognition](https://aclanthology.org/2024.lrec-main.499/)\n- [Enhancing Distantly Supervised Named Entity Recognition with Strong Label Guided Lottery Training](https://aclanthology.org/2024.lrec-main.524/)\n- [Exploring the Potential of Large Language Models (LLMs) for Low-resource Languages: A Study on Named-Entity Recognition (NER) and Part-Of-Speech (POS) Tagging for Nepali Language](https://aclanthology.org/2024.lrec-main.611/)\n- [Few-Shot Multimodal Named Entity Recognition Based on Mutlimodal Causal Intervention Graph](https://aclanthology.org/2024.lrec-main.633/)\n- [Few-shot Named Entity Recognition via Superposition Concept Discrimination](https://aclanthology.org/2024.lrec-main.634/)\n- [Grounded Multimodal Procedural Entity Recognition for Procedural Documents: A New Dataset and Baseline](https://aclanthology.org/2024.lrec-main.702/)\n- [Improving Chinese Named Entity Recognition with Multi-grained Words and Part-of-Speech Tags via Joint Modeling](https://aclanthology.org/2024.lrec-main.765/)\n- [KCL: Few-shot Named Entity Recognition with Knowledge Graph and Contrastive Learning](https://aclanthology.org/2024.lrec-main.846/)\n- [Know-Adapter: Towards Knowledge-Aware Parameter-Efficient Transfer Learning for Few-shot Named Entity Recognition](https://aclanthology.org/2024.lrec-main.854/)\n- [Korean Bio-Medical Corpus (KBMC) for Medical Named Entity Recognition](https://aclanthology.org/2024.lrec-main.868/)\n- [MNER-MI: A Multi-image Dataset for Multimodal Named Entity Recognition in Social Media](https://aclanthology.org/2024.lrec-main.1001/)\n- [MRC-based Nested Medical NER with Co-prediction and Adaptive Pre-training](https://aclanthology.org/2024.lrec-main.1019/)\n- [PolyNERE: A Novel Ontology and Corpus for Named Entity Recognition and Relation Extraction in Polymer Science Domain](https://aclanthology.org/2024.lrec-main.1126/)\n- [Sebastian, Basti, Wastl?! Recognizing Named Entities in Bavarian Dialectal Data](https://aclanthology.org/2024.lrec-main.1262/)\n- [TECA: A Two-stage Approach with Controllable Attention Soft Prompt for Few-shot Nested Named Entity Recognition](https://aclanthology.org/2024.lrec-main.1363/)\n- [ToNER: Type-oriented Named Entity Recognition with Generative Language Model](https://aclanthology.org/2024.lrec-main.1412/)\n- [Towards Few-shot Entity Recognition in Document Images: A Graph Neural Network Approach Robust to Image Manipulation](https://aclanthology.org/2024.lrec-main.1435/)\n- [UkraiNER: A New Corpus and Annotation Scheme towards Comprehensive Entity Recognition](https://aclanthology.org/2024.lrec-main.1473/)\n- [Unveiling Strengths and Weaknesses of NLP Systems Based on a Rich Evaluation Corpus: The Case of NER in French](https://aclanthology.org/2024.lrec-main.1495/)\n- [WkNER: Enhancing Named Entity Recognition with Word Segmentation Constraints and kNN Retrieval](https://aclanthology.org/2024.lrec-main.1535/)\n- [Combining Deep Learning Models and Lexical Linked Data: Some Insights from the Development of a Multilingual News Named Entity Recognition and Linking Dataset](https://aclanthology.org/2024.dlnld-1.3/)\n- [Repurposing Holocaust-Related Digital Scholarly Editions to Develop Multilingual Domain-Specific Named Entity Recognition Tools](https://aclanthology.org/2024.htres-1.3/)\n- [MSNER: A Multilingual Speech Dataset for Named Entity Recognition](https://aclanthology.org/2024.isa-1.2/)\n- [Too Young to NER: Improving Entity Recognition on Dutch Historical Documents](https://aclanthology.org/2024.lt4hala-1.4/)\n- [Development of Robust NER Models and Named Entity Tagsets for Ancient Greek](https://aclanthology.org/2024.lt4hala-1.11/)\n- [Bulgarian ParlaMint 4.0 corpus as a testset for Part-of-speech tagging and Named Entity Recognition](https://aclanthology.org/2024.parlaclarin-1.4/)\n\n#### EL\n- [AnnoCTR: A Dataset for Detecting and Linking Entities, Tactics, and Techniques in Cyber Threat Reports](https://aclanthology.org/2024.lrec-main.103/)\n- [Biomedical Entity Linking as Multiple Choice Question Answering](https://aclanthology.org/2024.lrec-main.214/)\n- [Building MUSCLE, a Dataset for MUltilingual Semantic Classification of Links between Entities](https://aclanthology.org/2024.lrec-main.233/)\n- [ChatEL: Entity Linking with Chatbots](https://aclanthology.org/2024.lrec-main.275/)\n- [Generative Multimodal Entity Linking](https://aclanthology.org/2024.lrec-main.676/)\n- [Linking Named Entities in Diderot’s Encyclopédie to Wikidata](https://aclanthology.org/2024.lrec-main.928/)\n- [TED-EL: A Corpus for Speech Entity Linking](https://aclanthology.org/2024.lrec-main.1365/)\n- [Biomedical Entity Linking for Dutch: Fine-tuning a Self-alignment BERT Model on an Automatically Generated Wikipedia Corpus](https://aclanthology.org/2024.cl4health-1.31/)\n- [Towards Semantic Interoperability: Parallel Corpora as Linked Data Incorporating Named Entity Linking](https://aclanthology.org/2024.ldl-1.15/)\n- [The dbpedia R Package: An Integrated Workflow for Entity Linking (for ParlaMint Corpora)](https://aclanthology.org/2024.parlaclarin-1.20/)\n\n#### Entity Typing\n\n#### Entity Representations / Embeddings\n- [Deriving Entity-Specific Embeddings from Multi-Entity Sequences](https://aclanthology.org/2024.lrec-main.418/)\n- [Latent vs Explicit Knowledge Representation: How ChatGPT Answers Questions about Low-Frequency Entities](https://aclanthology.org/2024.lrec-main.888/)\n\n#### misc\n- [Aligning the Norwegian UD Treebank with Entity and Coreference Information](https://aclanthology.org/2024.lrec-main.62/)\n- [Biomedical Concept Normalization over Nested Entities with Partial UMLS Terminology in Russian](https://aclanthology.org/2024.lrec-main.213/)\n- [CARE: Co-Attention Network for Joint Entity and Relation Extraction](https://aclanthology.org/2024.lrec-main.255/)\n- [Cross-lingual Named Entity Corpus for Slavic Languages](https://aclanthology.org/2024.lrec-main.369/)\n- [Debiasing Multi-Entity Aspect-Based Sentiment Analysis with Norm-Based Data Augmentation](https://aclanthology.org/2024.lrec-main.398/)\n- [Enriching a Time-Domain Astrophysics Corpus with Named Entity, Coreference and Astrophysical Relationship Annotations](https://aclanthology.org/2024.lrec-main.545/)\n- [EROS:Entity-Driven Controlled Policy Document Summarization](https://aclanthology.org/2024.lrec-main.551/)\n- [Extracting Biomedical Entities from Noisy Audio Transcripts](https://aclanthology.org/2024.lrec-main.616/)\n- [Malaysian English News Decoded: A Linguistic Resource for Named Entity and Relation Extraction](https://aclanthology.org/2024.lrec-main.959/)\n- [Mathematical Entities: Corpora and Benchmarks](https://aclanthology.org/2024.lrec-main.966/)\n- [MCIL: Multimodal Counterfactual Instance Learning for Low-resource Entity-based Multimodal Information Extraction](https://aclanthology.org/2024.lrec-main.968/)\n- [Medical Entity Disambiguation with Medical Mention Relation and Fine-grained Entity Knowledge](https://aclanthology.org/2024.lrec-main.972/)\n- [ParaNames 1.0: Creating an Entity Name Corpus for 400+ Languages Using Wikidata](https://aclanthology.org/2024.lrec-main.1103/)\n- [PPORTAL_ner: An Annotated Corpus of Portuguese Literary Entities](https://aclanthology.org/2024.lrec-main.1132/)\n- [Topics as Entity Clusters: Entity-based Topics from Large Language Models and Graph Neural Networks](https://aclanthology.org/2024.lrec-main.1418/)\n- [TweetTER: A Benchmark for Target Entity Retrieval on Twitter without Knowledge Bases](https://aclanthology.org/2024.lrec-main.1468/)\n- [Evaluating LLMs for Temporal Entity Extraction from Pediatric Clinical Text in Rare Diseases Context](https://aclanthology.org/2024.cl4health-1.18/)\n- [Intent Detection and Entity Extraction from Biomedical Literature](https://aclanthology.org/2024.cl4health-1.33/)\n- [Towards Named-Entity and Coreference Annotation of the Hebrew Bible](https://aclanthology.org/2024.lt4hala-1.5/)\n- [Towards the semantic annotation of SR-ELEXIS corpus: Insights into Multiword Expressions and Named Entities](https://aclanthology.org/2024.mwe-1.15/)\n- [Deciphering Political Entity Sentiment in News with Large Language Models: Zero-Shot and Few-Shot Strategies](https://aclanthology.org/2024.politicalnlp-1.1/)\n- [Lateral Inversions, Word Form/Order, Unnamed Grammatical Entities and Ambiguities in the Constituency Parsing and Annotation of the Igala Syntax through the English Language](https://aclanthology.org/2024.rail-1.17/)\n- [Robust Guidance for Unsupervised Data Selection: Capturing Perplexing Named Entities for Domain-Specific Machine Translation](https://aclanthology.org/2024.sigul-1.37/)\n- [Introducing NER-UK 2.0: A Rich Corpus of Named Entities for Ukrainian](https://aclanthology.org/2024.unlp-1.4/)\n- [Entity Embellishment Mitigation in LLMs Output with Noisy Synthetic Dataset for Alignment](https://aclanthology.org/2024.unlp-1.15/)\n### [EACL 2024](https://aclanthology.org/events/eacl-2024/) (2024/03/17 ~ 2024/03/22)\n\n\n#### NER\n- [Large-Scale Label Interpretation Learning for Few-Shot Named Entity Recognition](https://aclanthology.org/2024.eacl-long.178/)\n- [Extending Off-the-shelf NER Systems to Personal Information Detection in Dialogues with a Virtual Agent: Findings from a Real-Life Use Case](https://aclanthology.org/2024.caldpseudo-1.6/)\n- [People and Places of the Past - Named Entity Recognition in Swedish Labour Movement Documents from Historical Sources](https://aclanthology.org/2024.latechclfl-1.17/)\n- [Context-aware Adversarial Attack on Named Entity Recognition](https://aclanthology.org/2024.wnut-1.2/)\n- [The Effects of Data Quality on Named Entity Recognition](https://aclanthology.org/2024.wnut-1.8/)\n\n#### EL\n- [Ameli: Enhancing Multimodal Entity Linking with Fine-Grained Attributes](https://aclanthology.org/2024.eacl-long.172/)\n- [Entity Linking in the Job Market Domain](https://aclanthology.org/2024.findings-eacl.28/)\n- [Arukikata Travelogue Dataset with Geographic Entity Mention, Coreference, and Link Annotation](https://aclanthology.org/2024.findings-eacl.35/)\n- [Enriching the Metadata of Community-Generated Digital Content through Entity Linking: An Evaluative Comparison of State-of-the-Art Models](https://aclanthology.org/2024.latechclfl-1.20/)\n\n#### Entity Typing\n- [EnCore: Fine-Grained Entity Typing by Pre-Training Entity Encoders on Coreference Chains](https://aclanthology.org/2024.eacl-long.106/)\n\n#### Entity Representations / Embeddings\n\n#### misc\n- [OpenPI2.0: An Improved Dataset for Entity Tracking in Texts](https://aclanthology.org/2024.eacl-long.10/)\n- [Entity-level Factual Adaptiveness of Fine-tuning based Abstractive Summarization Models](https://aclanthology.org/2024.eacl-long.55/)\n- [What Makes Medical Claims (Un)Verifiable? Analyzing Entity and Relation Properties for Fact Verification](https://aclanthology.org/2024.eacl-long.124/)\n- [A RelEntLess Benchmark for Modelling Graded Relations between Named Entities](https://aclanthology.org/2024.eacl-long.152/)\n- [GUMsley: Evaluating Entity Salience in Summarization for 12 English Genres](https://aclanthology.org/2024.eacl-long.158/)\n- [Chem-FINESE: Validating Fine-Grained Few-shot Entity Extraction through Text Reconstruction](https://aclanthology.org/2024.findings-eacl.1/)\n- [Coreference in Long Documents using Hierarchical Entity Merging](https://aclanthology.org/2024.latechclfl-1.2/)\n- [A GPT among Annotators: LLM-based Entity-Level Sentiment Annotation](https://aclanthology.org/2024.law-1.13/)\n- [Different Tastes of Entities: Investigating Human Label Variation in Named Entity Annotations](https://aclanthology.org/2024.unimplicit-1.7/)\n### [TACL 2023](https://aclanthology.org/events/tacl-2023/)\n\n\n#### NER\n- [T 2 -NER: A Two-Stage Span-Based Framework for Unified Named Entity Recognition with Templates](https://aclanthology.org/2023.tacl-1.72/)\n\n#### EL\n\n#### Entity Typing\n\n#### Entity Representations / Embeddings\n\n#### misc\n### [CoNLL 2023](https://aclanthology.org/events/conll-2023/) (2023/12/06 ~ 2023/12/07)\n\n\n#### NER\n\n#### EL\n\n#### Entity Typing\n\n#### Entity Representations / Embeddings\n\n#### misc\n- [How Fragile is Relation Extraction under Entity Replacements?](https://aclanthology.org/2023.conll-1.27/)\n### [EMNLP 2023](https://aclanthology.org/events/emnlp-2023/) (2023/12/06 ~ 2023/12/10)\n\n\n#### NER\n- [MProto: Multi-Prototype Network with Denoised Optimal Transport for Distantly Supervised Named Entity Recognition](https://aclanthology.org/2023.emnlp-main.145/)\n- [Enhancing Low-resource Fine-grained Named Entity Recognition by Leveraging Coarse-grained Datasets](https://aclanthology.org/2023.emnlp-main.197/)\n- [Towards Building More Robust NER datasets: An Empirical Study on NER Dataset Bias from a Dataset Difficulty View](https://aclanthology.org/2023.emnlp-main.281/)\n- [Toward a Critical Toponymy Framework for Named Entity Recognition: A Case Study of Airbnb in New York City](https://aclanthology.org/2023.emnlp-main.284/)\n- [SKD-NER: Continual Named Entity Recognition via Span-based Knowledge Distillation with Reinforcement Learning](https://aclanthology.org/2023.emnlp-main.413/)\n- [Taxonomy Expansion for Named Entity Recognition](https://aclanthology.org/2023.emnlp-main.426/)\n- [Log-FGAER: Logic-Guided Fine-Grained Address Entity Recognition from Multi-Turn Spoken Dialogue](https://aclanthology.org/2023.emnlp-main.432/)\n- [Empirical Study of Zero-Shot NER with ChatGPT](https://aclanthology.org/2023.emnlp-main.493/)\n- [Continual Named Entity Recognition without Catastrophic Forgetting](https://aclanthology.org/2023.emnlp-main.509/)\n- [CleanCoNLL: A Nearly Noise-Free Named Entity Recognition Dataset](https://aclanthology.org/2023.emnlp-main.533/)\n- [Learning to Rank Context for Named Entity Recognition Using a Synthetic Dataset](https://aclanthology.org/2023.emnlp-main.642/)\n- [Addressing NER Annotation Noises with Uncertainty-Guided Tree-Structured CRFs](https://aclanthology.org/2023.emnlp-main.872/)\n- [Biomedical Named Entity Recognition via Dictionary-based Synonym Generalization](https://aclanthology.org/2023.emnlp-main.903/)\n- [ScdNER: Span-Based Consistency-Aware Document-Level Named Entity Recognition](https://aclanthology.org/2023.emnlp-main.970/)\n- [Vision-Enhanced Semantic Entity Recognition in Document Images via Visually-Asymmetric Consistency Learning](https://aclanthology.org/2023.emnlp-main.973/)\n- [Does Named Entity Recognition Truly Not Scale Up to Real-world Product Attribute Extraction?](https://aclanthology.org/2023.emnlp-industry.16/)\n- [BUSTER: a “BUSiness Transaction Entity Recognition” dataset](https://aclanthology.org/2023.emnlp-industry.57/)\n- [MultiCoNER v2: a Large Multilingual dataset for Fine-grained and Noisy Named Entity Recognition](https://aclanthology.org/2023.findings-emnlp.134/)\n- [Generalizing Few-Shot Named Entity Recognizers to Unseen Domains with Type-Related Features](https://aclanthology.org/2023.findings-emnlp.147/)\n- [Prompting ChatGPT in MNER: Enhanced Multimodal Named Entity Recognition with Auxiliary Refined Knowledge](https://aclanthology.org/2023.findings-emnlp.184/)\n- [In-context Learning for Few-shot Multimodal Named Entity Recognition](https://aclanthology.org/2023.findings-emnlp.196/)\n- [NERetrieve: Dataset for Next Generation Named Entity Recognition and Retrieval](https://aclanthology.org/2023.findings-emnlp.218/)\n- [2INER: Instructive and In-Context Learning on Few-Shot Named Entity Recognition](https://aclanthology.org/2023.findings-emnlp.259/)\n- [NERvous About My Health: Constructing a Bengali Medical Named Entity Recognition Dataset](https://aclanthology.org/2023.findings-emnlp.383/)\n- [ESPVR: Entity Spans Position Visual Regions for Multimodal Named Entity Recognition](https://aclanthology.org/2023.findings-emnlp.522/)\n- [Type-Aware Decomposed Framework for Few-Shot Named Entity Recognition](https://aclanthology.org/2023.findings-emnlp.598/)\n- [Do “English” Named Entity Recognizers Work Well on Global Englishes?](https://aclanthology.org/2023.findings-emnlp.788/)\n- [Adversarial Robustness for Large Language NER models using Disentanglement and Word Attributions](https://aclanthology.org/2023.findings-emnlp.830/)\n- [Re-weighting Tokens: A Simple and Effective Active Learning Strategy for Named Entity Recognition](https://aclanthology.org/2023.findings-emnlp.847/)\n- [Less than One-shot: Named Entity Recognition via Extremely Weak Supervision](https://aclanthology.org/2023.findings-emnlp.908/)\n- [Alignment Precedes Fusion: Open-Vocabulary Named Entity Recognition as Context-Type Semantic Matching](https://aclanthology.org/2023.findings-emnlp.974/)\n- [A Boundary Offset Prediction Network for Named Entity Recognition](https://aclanthology.org/2023.findings-emnlp.989/)\n- [Causal Intervention-based Few-Shot Named Entity Recognition](https://aclanthology.org/2023.findings-emnlp.1046/)\n- [Cross-Dialectal Named Entity Recognition in Arabic](https://aclanthology.org/2023.arabicnlp-1.12/)\n- [Arabic Fine-Grained Entity Recognition](https://aclanthology.org/2023.arabicnlp-1.25/)\n- [WojoodNER 2023: The First Arabic Named Entity Recognition Shared Task](https://aclanthology.org/2023.arabicnlp-1.83/)\n- [Lotus at WojoodNER Shared Task: Multilingual Transformers: Unveiling Flat and Nested Entity Recognition](https://aclanthology.org/2023.arabicnlp-1.85/)\n- [AlexU-AIC at WojoodNER shared task: Sequence Labeling vs MRC and SWA for Arabic Named Entity Recognition](https://aclanthology.org/2023.arabicnlp-1.86/)\n- [UM6P \u0026 UL at WojoodNER shared task: Improving Multi-Task Learning for Flat and Nested Arabic Named Entity Recognition](https://aclanthology.org/2023.arabicnlp-1.87/)\n- [AlphaBrains at WojoodNER shared task: Arabic Named Entity Recognition by Using Character-based Context-Sensitive Word Representations](https://aclanthology.org/2023.arabicnlp-1.88/)\n- [LIPN at WojoodNER shared task: A Span-Based Approach for Flat and Nested Arabic Named Entity Recognition](https://aclanthology.org/2023.arabicnlp-1.89/)\n- [Alex-U 2023 NLP at WojoodNER shared task: AraBINDER (Bi-encoder for Arabic Named Entity Recognition)](https://aclanthology.org/2023.arabicnlp-1.90/)\n- [El-Kawaref at WojoodNER shared task: StagedNER for Arabic Named Entity Recognition](https://aclanthology.org/2023.arabicnlp-1.91/)\n- [How well ChatGPT understand Malaysian English? An Evaluation on Named Entity Recognition and Relation Extraction](https://aclanthology.org/2023.gem-1.30/)\n- [Improving NER Research Workflows with SeqScore](https://aclanthology.org/2023.nlposs-1.17/)\n- [nerblackbox: A High-level Library for Named Entity Recognition in Python](https://aclanthology.org/2023.nlposs-1.20/)\n\n#### EL\n- [Instructed Language Models with Retrievers Are Powerful Entity Linkers](https://aclanthology.org/2023.emnlp-main.139/)\n- [S2abEL: A Dataset for Entity Linking from Scientific Tables](https://aclanthology.org/2023.emnlp-main.186/)\n- [Controllable Contrastive Generation for Multilingual Biomedical Entity Linking](https://aclanthology.org/2023.emnlp-main.350/)\n- [A Fair and In-Depth Evaluation of Existing End-to-End Entity Linking Systems](https://aclanthology.org/2023.emnlp-main.411/)\n- [Polar Ducks and Where to Find Them: Enhancing Entity Linking with Duck Typing and Polar Box Embeddings](https://aclanthology.org/2023.emnlp-main.566/)\n- [SpEL: Structured Prediction for Entity Linking](https://aclanthology.org/2023.emnlp-main.686/)\n- [BioFEG: Generate Latent Features for Biomedical Entity Linking](https://aclanthology.org/2023.emnlp-main.710/)\n- [Revisiting Sparse Retrieval for Few-shot Entity Linking](https://aclanthology.org/2023.emnlp-main.789/)\n- [A Comprehensive Evaluation of Biomedical Entity Linking Models](https://aclanthology.org/2023.emnlp-main.893/)\n- [Selecting Key Views for Zero-Shot Entity Linking](https://aclanthology.org/2023.findings-emnlp.91/)\n- [A Read-and-Select Framework for Zero-shot Entity Linking](https://aclanthology.org/2023.findings-emnlp.912/)\n- [mReFinED: An Efficient End-to-End Multilingual Entity Linking System](https://aclanthology.org/2023.findings-emnlp.1007/)\n\n#### Entity Typing\n- [Multi-view Contrastive Learning for Entity Typing over Knowledge Graphs](https://aclanthology.org/2023.emnlp-main.800/)\n- [Learning to Correct Noisy Labels for Fine-Grained Entity Typing via Co-Prediction Prompt Tuning](https://aclanthology.org/2023.findings-emnlp.389/)\n- [Ultra-Fine Entity Typing with Prior Knowledge about Labels: A Simple Clustering Based Strategy](https://aclanthology.org/2023.findings-emnlp.786/)\n- [Incorporating Object-Level Visual Context for Multimodal Fine-Grained Entity Typing](https://aclanthology.org/2023.findings-emnlp.1027/)\n- [Calibrated Seq2seq Models for Efficient and Generalizable Ultra-fine Entity Typing](https://aclanthology.org/2023.findings-emnlp.1040/)\n- [Do Language Models Learn about Legal Entity Types during Pretraining?](https://aclanthology.org/2023.nllp-1.4/)\n\n#### Entity Representations / Embeddings\n- [Random Entity Quantization for Parameter-Efficient Compositional Knowledge Graph Representation](https://aclanthology.org/2023.emnlp-main.177/)\n\n#### misc\n- [Post-hoc Utterance Refining Method by Entity Mining for Faithful Knowledge Grounded Conversations](https://aclanthology.org/2023.emnlp-main.295/)\n- [EDIS: Entity-Driven Image Search over Multimodal Web Content](https://aclanthology.org/2023.emnlp-main.297/)\n- [EntSUMv2: Dataset, Models and Evaluation for More Abstractive Entity-Centric Summarization](https://aclanthology.org/2023.emnlp-main.337/)\n- [Joint Entity and Relation Extraction with Span Pruning and Hypergraph Neural Networks](https://aclanthology.org/2023.emnlp-main.467/)\n- [FinEntity: Entity-level Sentiment Classification for Financial Texts](https://aclanthology.org/2023.emnlp-main.956/)\n- [E2E Spoken Entity Extraction for Virtual Agents](https://aclanthology.org/2023.emnlp-industry.54/)\n- [MixTEA: Semi-supervised Entity Alignment with Mixture Teaching](https://aclanthology.org/2023.findings-emnlp.63/)\n- [Multi-Modal Knowledge Graph Transformer Framework for Multi-Modal Entity Alignment](https://aclanthology.org/2023.findings-emnlp.70/)\n- [BiSPN: Generating Entity Set and Relation Set Coherently in One Pass](https://aclanthology.org/2023.findings-emnlp.136/)\n- [CoVariance-based Causal Debiasing for Entity and Relation Extraction](https://aclanthology.org/2023.findings-emnlp.173/)\n- [Ask To The Point: Open-Domain Entity-Centric Question Generation](https://aclanthology.org/2023.findings-emnlp.178/)\n- [impact of sample selection on in-context learning for entity extraction from scientific writing](https://aclanthology.org/2023.findings-emnlp.338/)\n- [Explore the Way: Exploring Reasoning Path by Bridging Entities for Effective Cross-Document Relation Extraction](https://aclanthology.org/2023.findings-emnlp.450/)\n- [KEPLET: Knowledge-Enhanced Pretrained Language Model with Topic Entity Awareness](https://aclanthology.org/2023.findings-emnlp.458/)\n- [Entity Disambiguation on a Tight Labeling Budget](https://aclanthology.org/2023.findings-emnlp.479/)\n- [Coherent Entity Disambiguation via Modeling Topic and Categorical Dependency](https://aclanthology.org/2023.findings-emnlp.502/)\n- [GSAP-NER: A Novel Task, Corpus, and Baseline for Scholarly Entity Extraction Focused on Machine Learning Models and Datasets](https://aclanthology.org/2023.findings-emnlp.548/)\n- [Show, Write, and Retrieve: Entity-aware Article Generation and Retrieval](https://aclanthology.org/2023.findings-emnlp.581/)\n- [EARA: Improving Biomedical Semantic Textual Similarity with Entity-Aligned Attention and Retrieval Augmentation](https://aclanthology.org/2023.findings-emnlp.586/)\n- [On Task-personalized Multimodal Few-shot Learning for Visually-rich Document Entity Retrieval](https://aclanthology.org/2023.findings-emnlp.604/)\n- [Entity-Based Evaluation of Political Bias in Automatic Summarization](https://aclanthology.org/2023.findings-emnlp.696/)\n- [Robustness of Named-Entity Replacements for In-Context Learning](https://aclanthology.org/2023.findings-emnlp.728/)\n- [EconBERTa: Towards Robust Extraction of Named Entities in Economics](https://aclanthology.org/2023.findings-emnlp.774/)\n- [PIVOINE: Instruction Tuning for Open-world Entity Profiling](https://aclanthology.org/2023.findings-emnlp.1009/)\n- [A Causal View of Entity Bias in (Large) Language Models](https://aclanthology.org/2023.findings-emnlp.1013/)\n- [VER: Unifying Verbalizing Entities and Relations](https://aclanthology.org/2023.findings-emnlp.1051/)\n- [Mitigating Intrinsic Named Entity-Related Hallucinations of Abstractive Text Summarization](https://aclanthology.org/2023.findings-emnlp.1059/)\n- [How Fragile is Relation Extraction under Entity Replacements?](https://aclanthology.org/2023.conll-1.27/)\n- [Integrated Annotation of Event Structure, Object States, and Entity Coreference](https://aclanthology.org/2023.crac-main.9/)\n- [McGill at CRAC 2023: Multilingual Generalization of Entity-Ranking Coreference Resolution Models](https://aclanthology.org/2023.crac-sharedtask.5/)\n- [Empowering a Metric with LLM-assisted Named Entity Annotation: HW-TSC’s Submission to the WMT23 Metrics Shared Task](https://aclanthology.org/2023.wmt-1.70/)\n### [IJCNLP-AACL 2023](https://aclanthology.org/events/aacl-2023/) (2023/11/01 ~ 2023/11/04)\n\n\n#### NER\n- [Analysing Cross-Lingual Transfer in Low-Resourced African Named Entity Recognition](https://aclanthology.org/2023.ijcnlp-main.14/)\n- [Named Entity Recognition via Machine Reading Comprehension: A Multi-Task Learning Approach](https://aclanthology.org/2023.findings-ijcnlp.2/)\n- [Few-shot Named Entity Recognition with Supported and Dependent Label Representations](https://aclanthology.org/2023.findings-ijcnlp.34/)\n- [WRF: Weighted Rouge-F1 Metric for Entity Recognition](https://aclanthology.org/2023.eval4nlp-1.1/)\n- [Developing a Named Entity Recognition Dataset for Tagalog](https://aclanthology.org/2023.sealp-1.2/)\n- [NanoNER: Named Entity Recognition for Nanobiology Using Experts’ Knowledge and Distant Supervision](https://aclanthology.org/2023.wiesp-1.2/)\n\n#### EL\n\n#### Entity Typing\n- [Rethinking the Role of Entity Type in Relation Classification](https://aclanthology.org/2023.ijcnlp-main.24/)\n\n#### Entity Representations / Embeddings\n\n#### misc\n### [ACL 2023](https://aclanthology.org/events/acl-2023/) (2023/07/09 ~ 2023/07/14)\n\n\n#### NER\n- [Why Aren’t We NER Yet? Artifacts of ASR Errors in Named Entity Recognition in Spontaneous Speech Transcripts](https://aclanthology.org/2023.acl-long.98/)\n- [DiffusionNER: Boundary Diffusion for Named Entity Recognition](https://aclanthology.org/2023.acl-long.215/)\n- [Improving Self-training for Cross-lingual Named Entity Recognition with Contrastive and Prototype Learning](https://aclanthology.org/2023.acl-long.222/)\n- [MANNER: A Variational Memory-Augmented Model for Cross Domain Few-Shot Named Entity Recognition](https://aclanthology.org/2023.acl-long.234/)\n- [CoLaDa: A Collaborative Label Denoising Framework for Cross-lingual Named Entity Recognition](https://aclanthology.org/2023.acl-long.330/)\n- [When and how to paraphrase for named entity recognition?](https://aclanthology.org/2023.acl-long.390/)\n- [Automatic Creation of Named Entity Recognition Datasets by Querying Phrase Representations](https://aclanthology.org/2023.acl-long.394/)\n- [Grounded Multimodal Named Entity Recognition on Social Media](https://aclanthology.org/2023.acl-long.508/)\n- [PromptNER: Prompt Locating and Typing for Named Entity Recognition](https://aclanthology.org/2023.acl-long.698/)\n- [Learning In-context Learning for Named Entity Recognition](https://aclanthology.org/2023.acl-long.764/)\n- [Improving Low-resource Named Entity Recognition with Graph Propagated Data Augmentation](https://aclanthology.org/2023.acl-short.11/)\n- [Split-NER: Named Entity Recognition via Two Question-Answering-based Classifications](https://aclanthology.org/2023.acl-short.36/)\n- [The Role of Global and Local Context in Named Entity Recognition](https://aclanthology.org/2023.acl-short.62/)\n- [Debiasing Generative Named Entity Recognition by Calibrating Sequence Likelihood](https://aclanthology.org/2023.acl-short.98/)\n- [An Embarrassingly Easy but Strong Baseline for Nested Named Entity Recognition](https://aclanthology.org/2023.acl-short.123/)\n- [Zshot: An Open-source Framework for Zero-Shot Named Entity Recognition and Relation Extraction](https://aclanthology.org/2023.acl-demo.34/)\n- [Theoretical Linguistics Rivals Embeddings in Language Clustering for Multilingual Named Entity Recognition](https://aclanthology.org/2023.acl-srw.24/)\n- [NAG-NER: a Unified Non-Autoregressive Generation Framework for Various NER Tasks](https://aclanthology.org/2023.acl-industry.65/)\n- [A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity Recognition](https://aclanthology.org/2023.findings-acl.89/)\n- [E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition](https://aclanthology.org/2023.findings-acl.103/)\n- [Focusing, Bridging and Prompting for Few-shot Nested Named Entity Recognition](https://aclanthology.org/2023.findings-acl.164/)\n- [PRAM: An End-to-end Prototype-based Representation Alignment Model for Zero-resource Cross-lingual Named Entity Recognition](https://aclanthology.org/2023.findings-acl.201/)\n- [Task-adaptive Label Dependency Transfer for Few-shot Named Entity Recognition](https://aclanthology.org/2023.findings-acl.203/)\n- [Exploiting Hierarchically Structured Categories in Fine-grained Chinese Named Entity Recognition](https://aclanthology.org/2023.findings-acl.211/)\n- [Improving Named Entity Recognition via Bridge-based Domain Adaptation](https://aclanthology.org/2023.findings-acl.238/)\n- [SANTA: Separate Strategies for Inaccurate and Incomplete Annotation Noise in Distantly-Supervised Named Entity Recognition](https://aclanthology.org/2023.findings-acl.239/)\n- [Coarse-to-fine Few-shot Learning for Named Entity Recognition](https://aclanthology.org/2023.findings-acl.253/)\n- [Sampling Better Negatives for Distantly Supervised Named Entity Recognition](https://aclanthology.org/2023.findings-acl.300/)\n- [Type Enhanced BERT for Correcting NER Errors](https://aclanthology.org/2023.findings-acl.445/)\n- [Federated Domain Adaptation for Named Entity Recognition via Distilling with Heterogeneous Tag Sets](https://aclanthology.org/2023.findings-acl.470/)\n- [Entity-to-Text based Data Augmentation for various Named Entity Recognition Tasks](https://aclanthology.org/2023.findings-acl.578/)\n- [Noise-Robust Training with Dynamic Loss and Contrastive Learning for Distantly-Supervised Named Entity Recognition](https://aclanthology.org/2023.findings-acl.643/)\n- [Deep Span Representations for Named Entity Recognition](https://aclanthology.org/2023.findings-acl.672/)\n- [A Class-Rebalancing Self-Training Framework for Distantly-Supervised Named Entity Recognition](https://aclanthology.org/2023.findings-acl.703/)\n- [Towards the First Named Entity Recognition of Inuktitut for an Improved Machine Translation](https://aclanthology.org/2023.americasnlp-1.10/)\n- [Comparing and combining some popular NER approaches on Biomedical tasks](https://aclanthology.org/2023.bionlp-1.24/)\n- [BIOptimus: Pre-training an Optimal Biomedical Language Model with Curriculum Learning for Named Entity Recognition](https://aclanthology.org/2023.bionlp-1.31/)\n- [A Meta-dataset of German Medical Corpora: Harmonization of Annotations and Cross-corpus NER Evaluation](https://aclanthology.org/2023.clinicalnlp-1.23/)\n- [Cross-domain German Medical Named Entity Recognition using a Pre-Trained Language Model and Unified Medical Semantic Types](https://aclanthology.org/2023.clinicalnlp-1.31/)\n- [UMLS-KGI-BERT: Data-Centric Knowledge Integration in Transformers for Biomedical Entity Recognition](https://aclanthology.org/2023.clinicalnlp-1.35/)\n- [Transfer Learning for Low-Resource Clinical Named Entity Recognition](https://aclanthology.org/2023.clinicalnlp-1.53/)\n- [A Multilingual Evaluation of NER Robustness to Adversarial Inputs](https://aclanthology.org/2023.repl4nlp-1.4/)\n- [Samsung Research China - Beijing at SemEval-2023 Task 2: An AL-R Model for Multilingual Complex Named Entity Recognition](https://aclanthology.org/2023.semeval-1.15/)\n- [RGAT at SemEval-2023 Task 2: Named Entity Recognition Using Graph Attention Network](https://aclanthology.org/2023.semeval-1.23/)\n- [TeamUnibo at SemEval-2023 Task 6: A transformer based approach to Rhetorical Roles prediction and NER in Legal Texts](https://aclanthology.org/2023.semeval-1.37/)\n- [RIGA at SemEval-2023 Task 2: NER Enhanced with GPT-3](https://aclanthology.org/2023.semeval-1.45/)\n- [VTCC-NER at SemEval-2023 Task 6: An Ensemble Pre-trained Language Models for Named Entity Recognition](https://aclanthology.org/2023.semeval-1.56/)\n- [LLM-RM at SemEval-2023 Task 2: Multilingual Complex NER Using XLM-RoBERTa](https://aclanthology.org/2023.semeval-1.62/)\n- [Sartipi-Sedighin at SemEval-2023 Task 2: Fine-grained Named Entity Recognition with Pre-trained Contextual Language Models and Data Augmentation from Wikipedia](https://aclanthology.org/2023.semeval-1.78/)\n- [SRCB at SemEval-2023 Task 2: A System of Complex Named Entity Recognition with External Knowledge](https://aclanthology.org/2023.semeval-1.92/)\n- [PAI at SemEval-2023 Task 2: A Universal System for Named Entity Recognition with External Entity Information](https://aclanthology.org/2023.semeval-1.102/)\n- [IITD at SemEval-2023 Task 2: A Multi-Stage Information Retrieval Approach for Fine-Grained Named Entity Recognition](https://aclanthology.org/2023.semeval-1.111/)\n- [L3I++ at SemEval-2023 Task 2: Prompting for Multilingual Complex Named Entity Recognition](https://aclanthology.org/2023.semeval-1.112/)\n- [garNER at SemEval-2023: Simplified Knowledge Augmentation for Multilingual Complex Named Entity Recognition](https://aclanthology.org/2023.semeval-1.114/)\n- [D2KLab at SemEval-2023 Task 2: Leveraging T-NER to Develop a Fine-Tuned Multilingual Model for Complex Named Entity Recognition](https://aclanthology.org/2023.semeval-1.115/)\n- [MEERQAT-IRIT at SemEval-2023 Task 2: Leveraging Contextualized Tag Descriptors for Multilingual Named Entity Recognition](https://aclanthology.org/2023.semeval-1.121/)\n- [NetEase.AI at SemEval-2023 Task 2: Enhancing Complex Named Entities Recognition in Noisy Scenarios via Text Error Correction and External Knowledge](https://aclanthology.org/2023.semeval-1.124/)\n- [Janko at SemEval-2023 Task 2: Bidirectional LSTM Model Based on Pre-training for Chinese Named Entity Recognition](https://aclanthology.org/2023.semeval-1.132/)\n- [FII_Better at SemEval-2023 Task 2: MultiCoNER II Multilingual Complex Named Entity Recognition](https://aclanthology.org/2023.semeval-1.153/)\n- [Minanto at SemEval-2023 Task 2: Fine-tuning XLM-RoBERTa for Named Entity Recognition on English Data](https://aclanthology.org/2023.semeval-1.156/)\n- [SAB at SemEval-2023 Task 2: Does Linguistic Information Aid in Named Entity Recognition?](https://aclanthology.org/2023.semeval-1.157/)\n- [NLPeople at SemEval-2023 Task 2: A Staged Approach for Multilingual Named Entity Recognition](https://aclanthology.org/2023.semeval-1.159/)\n- [IXA/Cogcomp at SemEval-2023 Task 2: Context-enriched Multilingual Named Entity Recognition Using Knowledge Bases](https://aclanthology.org/2023.semeval-1.186/)\n- [MLlab4CS at SemEval-2023 Task 2: Named Entity Recognition in Low-resource Language Bangla Using Multilingual Language Models](https://aclanthology.org/2023.semeval-1.192/)\n- [PoliToHFI at SemEval-2023 Task 6: Leveraging Entity-Aware and Hierarchical Transformers For Legal Entity Recognition and Court Judgment Prediction](https://aclanthology.org/2023.semeval-1.194/)\n- [KDDIE at SemEval-2023 Task 2: External Knowledge Injection for Named Entity Recognition](https://aclanthology.org/2023.semeval-1.206/)\n- [Billie-Newman at SemEval-2023 Task 5: Clickbait Classification and Question Answering with Pre-Trained Language Models, Named Entity Recognition and Rule-Based Approaches](https://aclanthology.org/2023.semeval-1.213/)\n- [YNUNLP at SemEval-2023 Task 2: The Pseudo Twin Tower Pre-training Model for Chinese Named Entity Recognition](https://aclanthology.org/2023.semeval-1.224/)\n- [Jus Mundi at SemEval-2023 Task 6: Using a Frustratingly Easy Domain Adaption for a Legal Named Entity Recognition System](https://aclanthology.org/2023.semeval-1.247/)\n- [CodeNLP at SemEval-2023 Task 2: Data Augmentation for Named Entity Recognition by Combination of Sequence Generation Strategies](https://aclanthology.org/2023.semeval-1.249/)\n- [VBD_NLP at SemEval-2023 Task 2: Named Entity Recognition Systems Enhanced by BabelNet and Wikipedia](https://aclanthology.org/2023.semeval-1.253/)\n- [CAIR-NLP at SemEval-2023 Task 2: A Multi-Objective Joint Learning System for Named Entity Recognition](https://aclanthology.org/2023.semeval-1.265/)\n- [DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented System for Multilingual Named Entity Recognition](https://aclanthology.org/2023.semeval-1.277/)\n- [Ertim at SemEval-2023 Task 2: Fine-tuning of Transformer Language Models and External Knowledge Leveraging for NER in Farsi, English, French and Chinese](https://aclanthology.org/2023.semeval-1.306/)\n- [SemEval-2023 Task 2: Fine-grained Multilingual Named Entity Recognition (MultiCoNER 2)](https://aclanthology.org/2023.semeval-1.310/)\n- [MANER: Mask Augmented Named Entity Recognition for Extreme Low-Resource Languages](https://aclanthology.org/2023.sustainlp-1.16/)\n\n#### EL\n- [Comparative evaluation of boundary-relaxed annotation for Entity Linking performance](https://aclanthology.org/2023.acl-long.458/)\n- [Towards Better Entity Linking with Multi-View Enhanced Distillation](https://aclanthology.org/2023.acl-long.542/)\n- [Direct Fact Retrieval from Knowledge Graphs without Entity Linking](https://aclanthology.org/2023.acl-long.558/)\n- [Benchmarking Diverse-Modal Entity Linking with Generative Models](https://aclanthology.org/2023.findings-acl.497/)\n- [Learn to Not Link: Exploring NIL Prediction in Entity Linking](https://aclanthology.org/2023.findings-acl.690/)\n- [Exploring Partial Knowledge Base Inference in Biomedical Entity Linking](https://aclanthology.org/2023.bionlp-1.3/)\n- [On the Surprising Effectiveness of Name Matching Alone in Autoregressive Entity Linking](https://aclanthology.org/2023.matching-1.6/)\n\n#### Entity Typing\n- [From Ultra-Fine to Fine: Fine-tuning Ultra-Fine Entity Typing Models to Fine-grained](https://aclanthology.org/2023.acl-long.126/)\n- [Recall, Expand, and Multi-Candidate Cross-Encode: Fast and Accurate Ultra-Fine Entity Typing](https://aclanthology.org/2023.acl-long.648/)\n- [Denoising Enhanced Distantly Supervised Ultrafine Entity Typing](https://aclanthology.org/2023.findings-acl.626/)\n- [Biomedical Relation Extraction with Entity Type Markers and Relation-specific Question Answering](https://aclanthology.org/2023.bionlp-1.35/)\n\n#### Entity Representations / Embeddings\n- [Biomedical Document Classification with Literature Graph Representations of Bibliographies and Entities](https://aclanthology.org/2023.bionlp-1.36/)\n\n#### misc\n- [Entity Tracking in Language Models](https://aclanthology.org/2023.acl-long.213/)\n- [Early Discovery of Disappearing Entities in Microblogs](https://aclanthology.org/2023.acl-long.247/)\n- [Can LMs Learn New Entities from Descriptions? Challenges in Propagating Injected Knowledge](https://aclanthology.org/2023.acl-long.300/)\n- [Learning “O” Helps for Learning More: Handling the Unlabeled Entity Problem for Class-incremental NER](https://aclanthology.org/2023.acl-long.328/)\n- [Rethinking Multimodal Entity and Relation Extraction from a Translation Point of View](https://aclanthology.org/2023.acl-long.376/)\n- [Do CoNLL-2003 Named Entity Taggers Still Work Well in 2023?](https://aclanthology.org/2023.acl-long.459/)\n- [Factual or Contextual? Disentangling Error Types in Entity Description Generation](https://aclanthology.org/2023.acl-long.463/)\n- [Naamapadam: A Large-Scale Named Entity Annotated Data for Indic Languages](https://aclanthology.org/2023.acl-long.582/)\n- [A Novel Table-to-Graph Generation Approach for Document-Level Joint Entity and Relation Extraction](https://aclanthology.org/2023.acl-long.607/)\n- [Resolving Indirect Referring Expressions for Entity Selection](https://aclanthology.org/2023.acl-long.688/)\n- [QUEST: A Retrieval Dataset of Entity-Seeking Queries with Implicit Set Operations](https://aclanthology.org/2023.acl-long.784/)\n- [Jointprop: Joint Semi-supervised Learning for Entity and Relation Extraction with Heterogeneous Graph-based Propagation](https://aclanthology.org/2023.acl-long.813/)\n- [Table and Image Generation for Investigating Knowledge of Entities in Pre-trained Vision and Language Models](https://aclanthology.org/2023.acl-short.162/)\n- [Riveter: Measuring Power and Social Dynamics Between Entities](https://aclanthology.org/2023.acl-demo.36/)\n- [Entity Contrastive Learning in a Large-Scale Virtual Assistant System](https://aclanthology.org/2023.acl-industry.17/)\n- [Automatic Named Entity Obfuscation in Speech](https://aclanthology.org/2023.findings-acl.39/)\n- [Extract and Attend: Improving Entity Translation in Neural Machine Translation](https://aclanthology.org/2023.findings-acl.107/)\n- [Parallel Data Helps Neural Entity Coreference Resolution](https://aclanthology.org/2023.findings-acl.197/)\n- [A Fused Gromov-Wasserstein Framework for Unsupervised Knowledge Graph Entity Alignment](https://aclanthology.org/2023.findings-acl.205/)\n- [QueryForm: A Simple Zero-shot Form Entity Query Framework](https://aclanthology.org/2023.findings-acl.255/)\n- [DSP: Discriminative Soft Prompts for Zero-Shot Entity and Relation Extraction](https://aclanthology.org/2023.findings-acl.339/)\n- [ECG-QALM: Entity-Controlled Synthetic Text Generation using Contextual Q\u0026A for NER](https://aclanthology.org/2023.findings-acl.349/)\n- [RHGN: Relation-gated Heterogeneous Graph Network for Entity Alignment in Knowledge Graphs](https://aclanthology.org/2023.findings-acl.553/)\n- [From Alignment to Entailment: A Unified Textual Entailment Framework for Entity Alignment](https://aclanthology.org/2023.findings-acl.559/)\n- [Learning to Leverage High-Order Medical Knowledge Graph for Joint Entity and Relation Extraction](https://aclanthology.org/2023.findings-acl.575/)\n- [The Coreference under Transformation Labeling Dataset: Entity Tracking in Procedural Texts Using Event Models](https://aclanthology.org/2023.findings-acl.788/)\n- [People and Places of Historical Europe: Bootstrapping Annotation Pipeline and a New Corpus of Named Entities in Late Medieval Texts](https://aclanthology.org/2023.findings-acl.887/)\n- [DISTANT: Distantly Supervised Entity Span Detection and Classification](https://aclanthology.org/2023.bionlp-1.14/)\n- [Large Language Models as Instructors: A Study on Multilingual Clinical Entity Extraction](https://aclanthology.org/2023.bionlp-1.15/)\n- [ISIKSumm at BioLaySumm Task 1: BART-based Summarization System Enhanced with Bio-Entity Labels](https://aclanthology.org/2023.bionlp-1.69/)\n- [Entity Coreference and Co-occurrence Aware Argument Mining from Biomedical Literature](https://aclanthology.org/2023.codi-1.6/)\n- [Entity-based SpanCopy for Abstractive Summarization to Improve the Factual Consistency](https://aclanthology.org/2023.codi-1.9/)\n- [Knowledge Base Completion for Long-Tail Entities](https://aclanthology.org/2023.matching-1.8/)\n- [CoSiNES: Contrastive Siamese Network for Entity Standardization](https://aclanthology.org/2023.matching-1.9/)\n- [Ginn-Khamov at SemEval-2023 Task 6, Subtask B: Legal Named Entities Extraction for Heterogenous Documents](https://aclanthology.org/2023.semeval-1.57/)\n- [Legal_try at SemEval-2023 Task 6: Voting Heterogeneous Models for Entities identification in Legal Documents](https://aclanthology.org/2023.semeval-1.178/)\n- [Minimalist Entity Disambiguation for Mid-Resource Languages](https://aclanthology.org/2023.sustainlp-1.24/)\n- [Identifying Visual Depictions of Animate Entities in Narrative Comics: An Annotation Study](https://aclanthology.org/2023.wnu-1.14/)\n### [EACL 2023](https://aclanthology.org/events/eacl-2023/) (2023/05/02 ~ 2023/05/06)\n\n\n#### NER\n- [A Human Subject Study of Named Entity Recognition in Conversational Music Recommendation Queries](https://aclanthology.org/2023.eacl-main.92/)\n- [Span-based Named Entity Recognition by Generating and Compressing Information](https://aclanthology.org/2023.eacl-main.146/)\n- [Towards a Unified Multi-Domain Multilingual Named Entity Recognition Model](https://aclanthology.org/2023.eacl-main.161/)\n- [Can Synthetic Text Help Clinical Named Entity Recognition? A Study of Electronic Health Records in French](https://aclanthology.org/2023.eacl-main.170/)\n- [AutoTriggER: Label-Efficient and Robust Named Entity Recognition with Auxiliary Trigger Extraction](https://aclanthology.org/2023.eacl-main.219/)\n- [Self-Adaptive Named Entity Recognition by Retrieving Unstructured Knowledge](https://aclanthology.org/2023.eacl-main.233/)\n- [Improving and Simplifying Template-Based Named Entity Recognition](https://aclanthology.org/2023.eacl-srw.8/)\n- [Named Entity Recognition in a Very Homogenous Domain](https://aclanthology.org/2023.findings-eacl.138/)\n- [Named Entity Recognition for Low-Resource Languages - Profiting from Language Families](https://aclanthology.org/2023.bsnlp-1.1/)\n- [Analysis of Transfer Learning for Named Entity Recognition in South-Slavic Languages](https://aclanthology.org/2023.bsnlp-1.13/)\n- [WikiGoldSK: Annotated Dataset, Baselines and Few-Shot Learning Experiments for Slovak Named Entity Recognition](https://aclanthology.org/2023.bsnlp-1.16/)\n- [Exploring the Use of Foundation Models for Named Entity Recognition and Lemmatization Tasks in Slavic Languages](https://aclanthology.org/2023.bsnlp-1.19/)\n- [Slav-NER: the 4th Cross-lingual Challenge on Recognition, Normalization, Classification, and Linking of Named Entities across Slavic languages](https://aclanthology.org/2023.bsnlp-1.21/)\n- [Detecting intersectionality in NER models: A data-driven approach](https://aclanthology.org/2023.latechclfl-1.13/)\n\n#### EL\n- [Large Language Models for Multilingual Slavic Named Entity Linking](https://aclanthology.org/2023.bsnlp-1.20/)\n\n#### Entity Typing\n\n#### Entity Representations / Embeddings\n\n#### misc\n- [Entity Tracking via Effective Use of Multi-Task Learning Model and Mention-guided Decoding](https://aclanthology.org/2023.eacl-main.90/)\n- [Entity Disambiguation with Entity Definitions](https://aclanthology.org/2023.eacl-main.93/)\n- [Shorten the Long Tail for Rare Entity and Event Extraction](https://aclanthology.org/2023.eacl-main.97/)\n- [ZELDA: A Comprehensive Benchmark for Supervised Entity Disambiguation](https://aclanthology.org/2023.eacl-main.151/)\n- [Characterizing the Entities in Harmful Memes: Who is the Hero, the Villain, the Victim?](https://aclanthology.org/2023.eacl-main.157/)\n- [Modeling Complex Event Scenarios via Simple Entity-focused Questions](https://aclanthology.org/2023.eacl-main.181/)\n- [Entity-Aware Dual Co-Attention Network for Fake News Detection](https://aclanthology.org/2023.findings-eacl.7/)\n- [Causal Reasoning of Entities and Events in Procedural Texts](https://aclanthology.org/2023.findings-eacl.31/)\n- [Open Information Extraction with Entity Focused Constraints](https://aclanthology.org/2023.findings-eacl.95/)\n- [Intent Identification and Entity Extraction for Healthcare Queries in Indic Languages](https://aclanthology.org/2023.findings-eacl.140/)\n- [Target Two Birds With One SToNe: Entity-Level Sentiment and Tone Analysis in Croatian News Headlines](https://aclanthology.org/2023.bsnlp-1.10/)\n- [An Entity-based Claim Extraction Pipeline for Real-world Biomedical Fact-checking](https://aclanthology.org/2023.fever-1.3/)\n- [“Who is the Madonna of Italian-American Literature?”: Target Entity Extraction and Analysis of Vossian Antonomasia](https://aclanthology.org/2023.latechclfl-1.12/)\n- [Named Entity Annotation Projection Applied to Classical Languages](https://aclanthology.org/2023.latechclfl-1.19/)\n### [TACL 2022](https://aclanthology.org/events/tacl-2022/)\n\n\n#### NER\n\n#### EL\n- [Multilingual Autoregressive Entity Linking](https://aclanthology.org/2022.tacl-1.16/)\n\n#### Entity Typing\n- [Ultra-fine Entity Typing with Indirect Supervision from Natural Language Inference](https://aclanthology.org/2022.tacl-1.35/)\n\n#### Entity Representations / Embeddings\n\n#### misc\n### [CoNLL 2022](https://aclanthology.org/events/conll-2022/) (2022/12/07 ~ 2022/12/08)\n\n\n#### NER\n\n#### EL\n\n#### Entity Typing\n\n#### Entity Representations / Embeddings\n\n#### misc\n- [A Multilingual Bag-of-Entities Model for Zero-Shot Cross-Lingual Text Classification](https://aclanthology.org/2022.conll-1.1/)\n### [EMNLP 2022](https://aclanthology.org/events/emnlp-2022/) (2022/12/07 ~ 2022/12/11)\n\n\n#### NER\n- [Style Transfer as Data Augmentation: A Case Study on Named Entity Recognition](https://aclanthology.org/2022.emnlp-main.120/)\n- [SetGNER: General Named Entity Recognition as Entity Set Generation](https://aclanthology.org/2022.emnlp-main.200/)\n- [SpanProto: A Two-stage Span-based Prototypical Network for Few-shot Named Entity Recognition](https://aclanthology.org/2022.emnlp-main.227/)\n- [Distilling Causal Effect from Miscellaneous Other-Class for Continual Named Entity Recognition](https://aclanthology.org/2022.emnlp-main.236/)\n- [Hardness-guided domain adaptation to recognise biomedical named entities under low-resource scenarios](https://aclanthology.org/2022.emnlp-main.271/)\n- [MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition](https://aclanthology.org/2022.emnlp-main.298/)\n- [Wider \u0026 Closer: Mixture of Short-channel Distillers for Zero-shot Cross-lingual Named Entity Recognition](https://aclanthology.org/2022.emnlp-main.345/)\n- [Simple Questions Generate Named Entity Recognition Datasets](https://aclanthology.org/2022.emnlp-main.417/)\n- [A Span-based Multimodal Variational Autoencoder for Semi-supervised Multimodal Named Entity Recognition](https://aclanthology.org/2022.emnlp-main.422/)\n- [Attention and Edge-Label Guided Graph Convolutional Networks for Named Entity Recognition](https://aclanthology.org/2022.emnlp-main.436/)\n- [ConNER: Consistency Training for Cross-lingual Named Entity Recognition](https://aclanthology.org/2022.emnlp-main.577/)\n- [SLICER: Sliced Fine-Tuning for Low-Resource Cross-Lingual Transfer for Named Entity Recognition](https://aclanthology.org/2022.emnlp-main.740/)\n- [Named Entity Recognition in Industrial Tables using Tabular Language Models](https://aclanthology.org/2022.emnlp-industry.35/)\n- [Biomedical NER for the Enterprise with Distillated BERN2 and the Kazu Framework](https://aclanthology.org/2022.emnlp-industry.63/)\n- [CROP: Zero-shot Cross-lingual Named Entity Recognition with Multilingual Labeled Sequence Translation](https://aclanthology.org/2022.findings-emnlp.34/)\n- [TransAdv: A Translation-based Adversarial Learning Framework for Zero-Resource Cross-Lingual Named Entity Recognition](https://aclanthology.org/2022.findings-emnlp.52/)\n- [Reconciliation of Pre-trained Models and Prototypical Neural Networks in Few-shot Named Entity Recognition](https://aclanthology.org/2022.findings-emnlp.129/)\n- [DualNER: A Dual-Teaching framework for Zero-shot Cross-lingual Named Entity Recognition](https://aclanthology.org/2022.findings-emnlp.132/)\n- [Formulating Few-shot Fine-tuning Towards Language Model Pre-training: A Pilot Study on Named Entity Recognition](https://aclanthology.org/2022.findings-emnlp.232/)\n- [Entity-level Interaction via Heterogeneous Graph for Multimodal Named Entity Recognition](https://aclanthology.org/2022.findings-emnlp.473/)\n- [AdaK-NER: An Adaptive Top-K Approach for Named Entity Recognition with Incomplete Annotations](https://aclanthology.org/2022.finnlp-1.26/)\n- [Assessing the Limits of Straightforward Models for Nested Named Entity Recognition in Spanish Clinical Narratives](https://aclanthology.org/2022.louhi-1.2/)\n- [Towards Improved Distantly Supervised Multilingual Named-Entity Recognition for Tweets](https://aclanthology.org/2022.mrl-1.12/)\n- [Named Entity Recognition in Indian court judgments](https://aclanthology.org/2022.nllp-1.15/)\n- [E-NER — An Annotated Named Entity Recognition Corpus of Legal Text](https://aclanthology.org/2022.nllp-1.22/)\n- [Legal Named Entity Recognition with Multi-Task Domain Adaptation](https://aclanthology.org/2022.nllp-1.29/)\n- [Named Entity Recognition as Structured Span Prediction](https://aclanthology.org/2022.umios-1.1/)\n- [Global Span Selection for Named Entity Recognition](https://aclanthology.org/2022.umios-1.2/)\n- [SI2M \u0026 AIOX Labs at WANLP 2022 Shared Task: Propaganda Detection in Arabic, A Data Augmentation and Name Entity Recognition Approach](https://aclanthology.org/2022.wanlp-1.58/)\n\n#### EL\n- [Unsupervised Entity Linking with Guided Summarization and Multiple-Choice Selection](https://aclanthology.org/2022.emnlp-main.638/)\n- [ELEVANT: A Fully Automatic Fine-Grained Entity Linking Evaluation and Analysis Tool](https://aclanthology.org/2022.emnlp-demos.8/)\n- [Knowledge-Rich Self-Supervision for Biomedical Entity Linking](https://aclanthology.org/2022.findings-emnlp.61/)\n- [Faithful to the Document or to the World? Mitigating Hallucinations via Entity-Linked Knowledge in Abstractive Summarization](https://aclanthology.org/2022.findings-emnlp.76/)\n- [Visual Named Entity Linking: A New Dataset and A Baseline](https://aclanthology.org/2022.findings-emnlp.178/)\n- [Proxy-based Zero-Shot Entity Linking by Effective Candidate Retrieval](https://aclanthology.org/2022.louhi-1.11/)\n- [Zero-shot Cross-Language Transfer of Monolingual Entity Linking Models](https://aclanthology.org/2022.mrl-1.4/)\n\n#### Entity Typing\n- [A Good Neighbor, A Found Treasure: Mining Treasured Neighbors for Knowledge Graph Entity Typing](https://aclanthology.org/2022.emnlp-main.31/)\n- [Generative Entity Typing with Curriculum Learning](https://aclanthology.org/2022.emnlp-main.199/)\n- [Transformer-based Entity Typing in Knowledge Graphs](https://aclanthology.org/2022.emnlp-main.402/)\n- [Modeling Label Correlations for Ultra-Fine Entity Typing with Neural Pairwise Conditional Random Field](https://aclanthology.org/2022.emnlp-main.459/)\n- [Does Your Model Classify Entities Reasonably? Diagnosing and Mitigating Spurious Correlations in Entity Typing](https://aclanthology.org/2022.emnlp-main.592/)\n- [Prompt-learning for Fine-grained Entity Typing](https://aclanthology.org/2022.findings-emnlp.512/)\n\n#### Entity Representations / Embeddings\n- [SpaBERT: A Pretrained Language Model from Geographic Data for Geo-Entity Representation](https://aclanthology.org/2022.findings-emnlp.200/)\n- [Entity Embedding Completion for Wide-Coverage Entity Disambiguation](https://aclanthology.org/2022.findings-emnlp.472/)\n- [Intermediate Entity-based Sparse Interpretable Representation Learning](https://aclanthology.org/2022.blackboxnlp-1.17/)\n- [Probing the representations of named entities in Transformer-based Language Models](https://aclanthology.org/2022.blackboxnlp-1.32/)\n\n#### misc\n- [Guiding Neural Entity Alignment with Compatibility](https://aclanthology.org/2022.emnlp-main.32/)\n- [A Unified Encoder-Decoder Framework with Entity Memory](https://aclanthology.org/2022.emnlp-main.43/)\n- [LightEA: A Scalable, Robust, and Interpretable Entity Alignment Framework via Three-view Label Propagation](https://aclanthology.org/2022.emnlp-main.52/)\n- [Entity Extraction in Low Resource Domains with Selective Pre-training of Large Language Models](https://aclanthology.org/2022.emnlp-main.61/)\n- [EvEntS ReaLM: Event Reasoning of Entity States via Language Models](https://aclanthology.org/2022.emnlp-main.129/)\n- [DEER: Descriptive Knowledge Graph for Explaining Entity Relationships](https://aclanthology.org/2022.emnlp-main.448/)\n- [Learning Inter-Entity-Interaction for Few-Shot Knowledge Graph Completion](https://aclanthology.org/2022.emnlp-main.524/)\n- [Entity-Focused Dense Passage Retrieval for Outside-Knowledge Visual Question Answering](https://aclanthology.org/2022.emnlp-main.551/)\n- [EDIN: An End-to-end Benchmark and Pipeline for Unknown Entity Discovery and Indexing](https://aclanthology.org/2022.emnlp-main.593/)\n- [Semantic Novelty Detection and Characterization in Factual Text Involving Named Entities](https://aclanthology.org/2022.emnlp-main.627/)\n- [Learning Cross-Task Dependencies for Joint Extraction of Entities, Events, Event Arguments, and Relations](https://aclanthology.org/2022.emnlp-main.634/)\n- [Entity-centered Cross-document Relation Extraction](https://aclanthology.org/2022.emnlp-main.671/)\n- [Generative Entity-to-Entity Stance Detection with Knowledge Graph Augmentation](https://aclanthology.org/2022.emnlp-main.676/)\n- [CDialog: A Multi-turn Covid-19 Conversation Dataset for Entity-Aware Dialog Generation](https://aclanthology.org/2022.emnlp-main.782/)\n- [Entity-level Sentiment Analysis in Contact Center Telephone Conversations](https://aclanthology.org/2022.emnlp-industry.49/)\n- [A Comprehensive Evaluation of Biomedical Entity-centric Search](https://aclanthology.org/2022.emnlp-industry.61/)\n- [Multimodal Knowledge Learning for Named Entity Disambiguation](https://aclanthology.org/2022.findings-emnlp.230/)\n- [Combinatory Grammar Tells Underlying Relevance among Entities](https://aclanthology.org/2022.findings-emnlp.424/)\n- [Named Entity and Relation Extraction with Multi-Modal Retrieval](https://aclanthology.org/2022.findings-emnlp.437/)\n- [Adaptive Graph Convolutional Network for Knowledge Graph Entity Alignment](https://aclanthology.org/2022.findings-emnlp.444/)\n- [EntityCS: Improving Zero-Shot Cross-lingual Transfer with Entity-Centric Code Switching](https://aclanthology.org/2022.findings-emnlp.499/)\n- [Improving Few-Shot Domain Transfer for Named Entity Disambiguation with Pattern Exploitation](https://aclanthology.org/2022.findings-emnlp.506/)\n- [A Multilingual Bag-of-Entities Model for Zero-Shot Cross-Lingual Text Classification](https://aclanthology.org/2022.conll-1.1/)\n- [CLSE: Corpus of Linguistically Significant Entities](https://aclanthology.org/2022.gem-1.6/)\n- [Factual Error Correction for Abstractive Summaries Using Entity Retrieval](https://aclanthology.org/2022.gem-1.41/)\n- [Distinguishing between focus and background entities in biomedical corpora using discourse structure and transformers](https://aclanthology.org/2022.louhi-1.4/)\n- [Entity Retrieval from Multilingual Knowledge Graphs](https://aclanthology.org/2022.mrl-1.1/)\n- [Enhancing Crisis-Related Tweet Classification with Entity-Masked Language Modeling and Multi-Task Learning](https://aclanthology.org/2022.nlp4pi-1.9/)\n- [CAraNER: The COVID-19 Arabic Named Entity Corpus](https://aclanthology.org/2022.wanlp-1.1/)\n- [ArabIE: Joint Entity, Relation and Event Extraction for Arabic](https://aclanthology.org/2022.wanlp-1.31/)\n### [AACL-IJCNLP 2022](https://aclanthology.org/events/aacl-2022/) (2022/11/20 ~ 2022/11/23)\n\n\n#### NER\n- [Named Entity Recognition in Twitter: A Dataset and Analysis on Short-Term Temporal Shifts](https://aclanthology.org/2022.aacl-main.25/)\n- [Integration of Named Entity Recognition and Sentence Segmentation on Ancient Chinese based on Siku-BERT](https://aclanthology.org/2022.nlp4dh-1.21/)\n- [Detecting Entities in the Astrophysics Literature: A Comparison of Word-based and Span-based Entity Recognition Methods](https://aclanthology.org/2022.wiesp-1.9/)\n- [TDAC, The First Corpus in Time-Domain Astrophysics: Analysis and First Experiments on Named Entity Recognition](https://aclanthology.org/2022.wiesp-1.15/)\n\n#### EL\n\n#### Entity Typing\n\n#### Entity Representations / Embeddings\n- [Efficient Entity Embedding Construction from Type Knowledge for BERT](https://aclanthology.org/2022.findings-aacl.1/)\n\n#### misc\n- [Multimodal Generation of Radiology Reports using Knowledge-Grounded Extraction of Entities and Relations](https://aclanthology.org/2022.aacl-main.47/)\n- [NERDz: A Preliminary Dataset of Named Entities for Algerian](https://aclanthology.org/2022.aacl-short.13/)\n- [Extractive Entity-Centric Summarization as Sentence Selection using Bi-Encoders](https://aclanthology.org/2022.aacl-short.40/)\n- [An Empirical Study of Pipeline vs. Joint approaches to Entity and Relation Extraction](https://aclanthology.org/2022.aacl-short.55/)\n- [Overview of the First Shared Task on Detecting Entities in the Astrophysics Literature (DEAL)](https://aclanthology.org/2022.wiesp-1.1/)\n- [TELIN: Table Entity LINker for Extracting Leaderboards from Machine Learning Publications](https://aclanthology.org/2022.wiesp-1.3/)\n- [Astro-mT5: Entity Extraction from Astrophysics Literature using mT5 Language Model](https://aclanthology.org/2022.wiesp-1.12/)\n- [A Majority Voting Strategy of a SciBERT-based Ensemble Models for Detecting Entities in the Astrophysics Literature (Shared Task)](https://aclanthology.org/2022.wiesp-1.17/)\n### [COLING 2022](https://aclanthology.org/events/coling-2022/) (2022/10/12 ~ 2022/10/17)\n\n\n#### NER\n- [Few-shot Named Entity Recognition with Entity-level Prototypical Network Enhanced by Dispersedly Distributed Prototypes](https://aclanthology.org/2022.coling-1.159/)\n- [Prompt-based Text Entailment for Low-Resource Named Entity Recognition](https://aclanthology.org/2022.coling-1.164/)\n- [Two Languages Are Better than One: Bilingual Enhancement for Chinese Named Entity Recognition](https://aclanthology.org/2022.coling-1.176/)\n- [Flat Multi-modal Interaction Transformer for Named Entity Recognition](https://aclanthology.org/2022.coling-1.179/)\n- [Simple Yet Powerful: An Overlooked Architecture for Nested Named Entity Recognition](https://aclanthology.org/2022.coling-1.184/)\n- [LightNER: A Lightweight Tuning Paradigm for Low-resource NER via Pluggable Prompting](https://aclanthology.org/2022.coling-1.209/)\n- [Domain-Specific NER via Retrieving Correlated Samples](https://aclanthology.org/2022.coling-1.211/)\n- [Nested Named Entity Recognition as Corpus Aware Holistic Structure Parsing](https://aclanthology.org/2022.coling-1.218/)\n- [COPNER: Contrastive Learning with Prompt Guiding for Few-shot Named Entity Recognition](https://aclanthology.org/2022.coling-1.222/)\n- [SEE-Few: Seed, Expand and Entail for Few-shot Named Entity Recognition](https://aclanthology.org/2022.coling-1.224/)\n- [A Data-driven Approach to Named Entity Recognition for Early Modern French](https://aclanthology.org/2022.coling-1.327/)\n- [Tafsir Dataset: A Novel Multi-Task Benchmark for Named Entity Recognition and Topic Modeling in Classical Arabic Literature](https://aclanthology.org/2022.coling-1.330/)\n- [MultiCoNER: A Large-scale Multilingual Dataset for Complex Named Entity Recognition](https://aclanthology.org/2022.coling-1.334/)\n- [Applying Natural Annotation and Curriculum Learning to Named Entity Recognition for Under-Resourced Languages](https://aclanthology.org/2022.coling-1.394/)\n- [FactMix: Using a Few Labeled In-domain Examples to Generalize to Cross-domain Named Entity Recognition](https://aclanthology.org/2022.coling-1.476/)\n- [Syntax-driven Data Augmentation for Named Entity Recognition](https://aclanthology.org/2022.pandl-1.7/)\n- [Named Entity Recognition Based Automatic Generation of Research Highlights](https://aclanthology.org/2022.sdp-1.18/)\n- [CLaCLab at SocialDisNER: Using Medical Gazetteers for Named-Entity Recognition of Disease Mentions in Spanish Tweets](https://aclanthology.org/2022.smm4h-1.16/)\n- [FRE at SocialDisNER: Joint Learning of Language Models for Named Entity Recognition](https://aclanthology.org/2022.smm4h-1.20/)\n- [Romanian micro-blogging named entity recognition including health-related entities](https://aclanthology.org/2022.smm4h-1.49/)\n- [An Effective, Performant Named Entity Recognition System for Noisy Business Telephone Conversation Transcripts](https://aclanthology.org/2022.wnut-1.10/)\n- [“Kanglish alli names!” Named Entity Recognition for Kannada-English Code-Mixed Social Media Data](https://aclanthology.org/2022.wnut-1.17/)\n\n#### EL\n- [Find the Funding: Entity Linking with Incomplete Funding Knowledge Bases](https://aclanthology.org/2022.coling-1.168/)\n- [Improving Zero-Shot Entity Linking Candidate Generation with Ultra-Fine Entity Type Information](https://aclanthology.org/2022.coling-1.214/)\n- [Multilevel Hypernode Graphs for Effective and Efficient Entity Linking](https://aclanthology.org/2022.textgraphs-1.1/)\n- [Robust Candidate Generation for Entity Linking on Short Social Media Texts](https://aclanthology.org/2022.wnut-1.8/)\n\n#### Entity Typing\n- [Type-enriched Hierarchical Contrastive Strategy for Fine-Grained Entity Typing](https://aclanthology.org/2022.coling-1.212/)\n\n#### Entity Representations / Embeddings\n- [Document-Level Relation Extraction via Pair-Aware and Entity-Enhanced Representation Learning](https://aclanthology.org/2022.coling-1.213/)\n- [Multi-modal Contrastive Representation Learning for Entity Alignment](https://aclanthology.org/2022.coling-1.227/)\n- [Enhancing Contextual Word Representations Using Embedding of Neighboring Entities in Knowledge Graphs](https://aclanthology.org/2022.coling-1.281/)\n- [Entity-based Claim Representation Improves Fact-Checking of Medical Content in Tweets](https://aclanthology.org/2022.argmining-1.18/)\n\n#### misc\n- [Autoregressive Entity Generation for End-to-End Task-Oriented Dialog](https://aclanthology.org/2022.coling-1.25/)\n- [New or Old? Exploring How Pre-Trained Language Models Represent Discourse Entities](https://aclanthology.org/2022.coling-1.73/)\n- [A Simple Temporal Information Matching Mechanism for Entity Alignment between Temporal Knowledge Graphs](https://aclanthology.org/2022.coling-1.181/)\n- [DoSEA: A Domain-specific Entity-aware Framework for Cross-Domain Named Entity Recogition](https://aclanthology.org/2022.coling-1.188/)\n- [SCL-RAI: Span-based Contrastive Learning with Retrieval Augmented Inference for Unlabeled Entity Problem in NER](https://aclanthology.org/2022.coling-1.202/)\n- [Method Entity Extraction from Biomedical Texts](https://aclanthology.org/2022.coling-1.207/)\n- [KoCHET: A Korean Cultural Heritage Corpus for Entity-related Tasks](https://aclanthology.org/2022.coling-1.308/)\n- [Resource of Wikipedias in 31 Languages Categorized into Fine-Grained Named Entities](https://aclanthology.org/2022.coling-1.331/)\n- [Source-summary Entity Aggregation in Abstractive Summarization](https://aclanthology.org/2022.coling-1.526/)\n- [PINEAPPLE: Personifying INanimate Entities by Acquiring Parallel Personification Data for Learning Enhanced Generation](https://aclanthology.org/2022.coling-1.547/)\n- [Entity-Level Sentiment Analysis (ELSA): An Exploratory Task Survey](https://aclanthology.org/2022.coling-1.589/)\n- [Named Entity Inclusion in Abstractive Text Summarization](https://aclanthology.org/2022.sdp-1.17/)\n- [Cross-Dialect Social Media Dependency Parsing for Social Scientific Entity Attribute Analysis](https://aclanthology.org/2022.wnut-1.4/)\n### [NAACL 2022](https://aclanthology.org/events/naacl-2022/) (2022/07/10 ~ 2022/07/15)\n\n\n#### NER\n- [On the Use of External Data for Spoken Named Entity Recognition](https://aclanthology.org/2022.naacl-main.53/)\n- [Hero-Gang Neural Model For Named Entity Recognition](https://aclanthology.org/2022.naacl-main.140/)\n- [Sentence-Level Resampling for Named Entity Recognition](https://aclanthology.org/2022.naacl-main.156/)\n- [Dynamic Gazetteer Integration in Multilingual Models for Cross-Lingual and Cross-Domain Named Entity Recognition](https://aclanthology.org/2022.naacl-main.200/)\n- [ITA: Image-Text Alignments for Multi-Modal Named Entity Recognition](https://aclanthology.org/2022.naacl-main.232/)\n- [Robust Self-Augmentation for Named Entity Recognition with Meta Reweighting](https://aclanthology.org/2022.naacl-main.297/)\n- [NER-MQMRC: Formulating Named Entity Recognition as Multi Question Machine Reading Comprehension](https://aclanthology.org/2022.naacl-industry.26/)\n- [MultiNERD: A Multilingual, Multi-Genre and Fine-Grained Dataset for Named Entity Recognition (and Disambiguation)](https://aclanthology.org/2022.findings-naacl.60/)\n- [Delving Deep into Regularity: A Simple but Effective Method for Chinese Named Entity Recognition](https://aclanthology.org/2022.findings-naacl.143/)\n- [Label Refinement via Contrastive Learning for Distantly-Supervised Named Entity Recognition](https://aclanthology.org/2022.findings-naacl.203/)\n- [Cross-Language Transfer of High-Quality Annotations: Combining Neural Machine Translation with Cross-Linguistic Span Alignment to Apply NER to Clinical Texts in a Low-Resource Language](https://aclanthology.org/2022.clinicalnlp-1.6/)\n- [Resilience of Named Entity Recognition Models under Adversarial Attack](https://aclanthology.org/2022.dadc-1.1/)\n- [Generating unlabelled data for a tri-training approach in a low resourced NER task](https://aclanthology.org/2022.deeplo-1.4/)\n- [Few-shot Learning for Sumerian Named Entity Recognition](https://aclanthology.org/2022.deeplo-1.15/)\n- [kpfriends at SemEval-2022 Task 2: NEAMER - Named Entity Augmented Multi-word Expression Recognizer](https://aclanthology.org/2022.semeval-1.21/)\n- [NER4ID at SemEval-2022 Task 2: Named Entity Recognition for Idiomaticity Detection](https://aclanthology.org/2022.semeval-1.25/)\n- [SemEval-2022 Task 11: Multilingual Complex Named Entity Recognition (MultiCoNER)](https://aclanthology.org/2022.semeval-1.196/)\n- [LMN at SemEval-2022 Task 11: A Transformer-based System for English Named Entity Recognition](https://aclanthology.org/2022.semeval-1.197/)\n- [PA Ph\u0026Tech at SemEval-2022 Task 11: NER Task with Ensemble Embedding from Reinforcement Learning](https://aclanthology.org/2022.semeval-1.198/)\n- [UC3M-PUCPR at SemEval-2022 Task 11: An Ensemble Method of Transformer-based Models for Complex Named Entity Recognition](https://aclanthology.org/2022.semeval-1.199/)\n- [DAMO-NLP at SemEval-2022 Task 11: A Knowledge-based System for Multilingual Named Entity Recognition](https://aclanthology.org/2022.semeval-1.200/)\n- [Multilinguals at SemEval-2022 Task 11: Complex NER in Semantically Ambiguous Settings for Low Resource Languages](https://aclanthology.org/2022.semeval-1.201/)\n- [DANGNT-SGU at SemEval-2022 Task 11: Using Pre-trained Language Model for Complex Named Entity Recognition](https://aclanthology.org/2022.semeval-1.203/)\n- [OPDAI at SemEval-2022 Task 11: A hybrid approach for Chinese NER using outside Wikipedia knowledge](https://aclanthology.org/2022.semeval-1.204/)\n- [Sliced at SemEval-2022 Task 11: Bigger, Better? Massively Multilingual LMs for Multilingual Complex NER on an Academic GPU Budget](https://aclanthology.org/2022.semeval-1.205/)\n- [Infrrd.ai at SemEval-2022 Task 11: A system for named entity recognition using data augmentation, transformer-based sequence labeling model, and EnsembleCRF](https://aclanthology.org/2022.semeval-1.206/)\n- [UM6P-CS at SemEval-2022 Task 11: Enhancing Multilingual and Code-Mixed Complex Named Entity Recognition via Pseudo Labels using Multilingual Transformer](https://aclanthology.org/2022.semeval-1.207/)\n- [CASIA at SemEval-2022 Task 11: Chinese Named Entity Recognition for Complex and Ambiguous Entities](https://aclanthology.org/2022.semeval-1.208/)\n- [TEAM-Atreides at SemEval-2022 Task 11: On leveraging data augmentation and ensemble to recognize complex Named Entities in Bangla](https://aclanthology.org/2022.semeval-1.209/)\n- [KDDIE at SemEval-2022 Task 11: Using DeBERTa for Named Entity Recognition](https://aclanthology.org/2022.semeval-1.210/)\n- [silpa_nlp at SemEval-2022 Tasks 11: Transformer based NER models for Hindi and Bangla languages](https://aclanthology.org/2022.semeval-1.211/)\n- [DS4DH at SemEval-2022 Task 11: Multilingual Named Entity Recognition Using an Ensemble of Transformer-based Language Models](https://aclanthology.org/2022.semeval-1.212/)\n- [CMNEROne at SemEval-2022 Task 11: Code-Mixed Named Entity Recognition by leveraging multilingual data](https://aclanthology.org/2022.semeval-1.214/)\n- [RACAI at SemEval-2022 Task 11: Complex named entity recognition using a lateral inhibition mechanism](https://aclanthology.org/2022.semeval-1.215/)\n- [NamedEntityRangers at SemEval-2022 Task 11: Transformer-based Approaches for Multilingual Complex Named Entity Recognition](https://aclanthology.org/2022.semeval-1.216/)\n- [Raccoons at SemEval-2022 Task 11: Leveraging Concatenated Word Embeddings for Named Entity Recognition](https://aclanthology.org/2022.semeval-1.217/)\n- [SeqL at SemEval-2022 Task 11: An Ensemble of Transformer Based Models for Complex Named Entity Recognition Task](https://aclanthology.org/2022.semeval-1.218/)\n- [SFE-AI at SemEval-2022 Task 11: Low-Resource Named Entity Recognition using Large Pre-trained Language Models](https://aclanthology.org/2022.semeval-1.219/)\n- [NCUEE-NLP at SemEval-2022 Task 11: Chinese Named Entity Recognition Using the BERT-BiLSTM-CRF Model](https://aclanthology.org/2022.semeval-1.220/)\n- [CMB AI Lab at SemEval-2022 Task 11: A Two-Stage Approach for Complex Named Entity Recognition via Span Boundary Detection and Span Classification](https://aclanthology.org/2022.semeval-1.221/)\n- [UA-KO at SemEval-2022 Task 11: Data Augmentation and Ensembles for Korean Named Entity Recognition](https://aclanthology.org/2022.semeval-1.222/)\n- [USTC-NELSLIP at SemEval-2022 Task 11: Gazetteer-Adapted Integration Network for Multilingual Complex Named Entity Recognition](https://aclanthology.org/2022.semeval-1.223/)\n- [L3i at SemEval-2022 Task 11: Straightforward Additional Context for Multilingual Named Entity Recognition](https://aclanthology.org/2022.semeval-1.225/)\n- [MarSan at SemEval-2022 Task 11: Multilingual complex named entity recognition using T5 and transformer encoder](https://aclanthology.org/2022.semeval-1.226/)\n- [SU-NLP at SemEval-2022 Task 11: Complex Named Entity Recognition with Entity Linking](https://aclanthology.org/2022.semeval-1.227/)\n- [Qtrade AI at SemEval-2022 Task 11: An Unified Framework for Multilingual NER Task](https://aclanthology.org/2022.semeval-1.228/)\n- [PAI at SemEval-2022 Task 11: Name Entity Recognition with Contextualized Entity Representations and Robust Loss Functions](https://aclanthology.org/2022.semeval-1.229/)\n\n#### EL\n- [Generative Biomedical Entity Linking via Knowledge Base-Guided Pre-training and Synonyms-Aware Fine-tuning](https://aclanthology.org/2022.naacl-main.296/)\n- [Entity Linking via Explicit Mention-Mention Coreference Modeling](https://aclanthology.org/2022.naacl-main.343/)\n- [Strong Heuristics for Named Entity Linking](https://aclanthology.org/2022.naacl-srw.30/)\n- [ReFinED: An Efficient Zero-shot-capable Approach to End-to-End Entity Linking](https://aclanthology.org/2022.naacl-industry.24/)\n- [BLINK with Elasticsearch for Efficient Entity Linking in Business Conversations](https://aclanthology.org/2022.naacl-industry.38/)\n- [Zero-shot Entity Linking with Less Data](https://aclanthology.org/2022.findings-naacl.127/)\n\n#### Entity Typing\n\n#### Entity Representations / Embeddings\n- [EmRel: Joint Representation of Entities and Embedded Relations for Multi-triple Extraction](https://aclanthology.org/2022.naacl-main.48/)\n- [Learning to Borrow– Relation Representation for Without-Mention Entity-Pairs for Knowledge Graph Completion](https://aclanthology.org/2022.naacl-main.209/)\n- [Contrastive Representation Learning for Cross-Document Coreference Resolution of Events and Entities](https://aclanthology.org/2022.naacl-main.267/)\n- [EASE: Entity-Aware Contrastive Learning of Sentence Embedding](https://aclanthology.org/2022.naacl-main.284/)\n- [MIA 2022 Shared Task Submission: Leveraging Entity Representations, Dense-Sparse Hybrids, and Fusion-in-Decoder for Cross-Lingual Question Answering](https://aclanthology.org/2022.mia-1.10/)\n- [CSECU-DSG at SemEval-2022 Task 11: Identifying the Multilingual Complex Named Entity in Text Using Stacked Embeddings and Transformer based Approach](https://aclanthology.org/2022.semeval-1.213/)\n\n#### misc\n- [On the Robustness of Reading Comprehension Models to Entity Renaming](https://aclanthology.org/2022.naacl-main.37/)\n- [When a sentence does not introduce a discourse entity, Transformer-based models still sometimes refer to it](https://aclanthology.org/2022.naacl-main.71/)\n- [Commonsense and Named Entity Aware Knowledge Grounded Dialogue Generation](https://aclanthology.org/2022.naacl-main.95/)\n- [Relation-Specific Attentions over Entity Mentions for Enhanced Document-Level Relation Extraction](https://aclanthology.org/2022.naacl-main.109/)\n- [Improving Entity Disambiguation by Reasoning over a Knowledge Base](https://aclanthology.org/2022.naacl-main.210/)\n- [Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis](https://aclanthology.org/2022.naacl-main.224/)\n- [Global Entity Disambiguation with BERT](https://aclanthology.org/2022.naacl-main.238/)\n- [Joint Extraction of Entities, Relations, and Events via Modeling Inter-Instance and Inter-Label Dependencies](https://aclanthology.org/2022.naacl-main.324/)\n- [Modeling Task Interactions in Document-Level Joint Entity and Relation Extraction](https://aclanthology.org/2022.naacl-main.395/)\n- [Impact of Training Instance Selection on Domain-Specific Entity Extraction using BERT](https://aclanthology.org/2022.naacl-srw.11/)\n- [Improving the Faithfulness of Abstractive Summarization via Entity Coverage Control](https://aclanthology.org/2022.findings-naacl.40/)\n- [Entity Cloze By Date: What LMs Know About Unseen Entities](https://aclanthology.org/2022.findings-naacl.52/)\n- [Dangling-Aware Entity Alignment with Mixed High-Order Proximities](https://aclanthology.org/2022.findings-naacl.88/)\n- [Low-resource Entity Set Expansion: A Comprehensive Study on User-generated Text](https://aclanthology.org/2022.findings-naacl.100/)\n- [Good Visual Guidance Make A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction](https://aclanthology.org/2022.findings-naacl.121/)\n- [FarFetched: Entity-centric Reasoning and Claim Validation for the Greek Language based on Textually Represented Environments](https://aclanthology.org/2022.deeplo-1.19/)\n- [GateNLP-UShef at SemEval-2022 Task 8: Entity-Enriched Siamese Transformer for Multilingual News Article Similarity](https://aclanthology.org/2022.semeval-1.158/)\n- [AIFB-WebScience at SemEval-2022 Task 12: Relation Extraction First - Using Relation Extraction to Identify Entities](https://aclanthology.org/2022.semeval-1.232/)\n- [ParaNames: A Massively Multilingual Entity Name Corpus](https://aclanthology.org/2022.sigtyp-1.15/)\n- [Towards a Multi-Entity Aspect-Based Sentiment Analysis for Characterizing Directed Social Regard in Online Messaging](https://aclanthology.org/2022.woah-1.19/)\n### [LREC 2022](https://aclanthology.org/events/lrec-2022/) (2022/06/20 ~ 2022/06/25)\n\n\n#### NER\n- [KazNERD: Kazakh Named Entity Recognition Dataset](https://aclanthology.org/2022.lrec-1.44/)\n- [KIND: an ","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkaisugi%2Fentity-related-papers","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkaisugi%2Fentity-related-papers","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkaisugi%2Fentity-related-papers/lists"}