mlsanityData to 14 Oct 2026

Anaphora and Coreference Resolution: A Review

arXiv 1805.11824 ↗First posted 30 May 2018cs.CLcited by 31

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Abstract (arXiv)

Entity resolution aims at resolving repeated references to an entity in a document and forms a core component of natural language processing (NLP) research. This field possesses immense potential to improve the performance of other NLP fields like machine translation, sentiment analysis, paraphrase detection, summarization, etc. The area of entity resolution in NLP has seen proliferation of research in two separate sub-areas namely: anaphora resolution and coreference resolution. Through this review article, we aim at clarifying the scope of these two tasks in entity resolution. We also carry out a detailed analysis of the datasets, evaluation metrics and research methods that have been adopted to tackle this NLP problem. This survey is motivated with the aim of providing the reader with a clear understanding of what constitutes this NLP problem and the issues that require attention.

Key facts. Cited by 31 papers in the map (data through 14 Oct 2026). First posted on arXiv 30 May 2018.

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Citing papers per year: 2021: 5; 2022: 7; 2023: 7; 2024: 8; 2025: 2; 2026: 2.

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  1. 2022The Text Anonymization Benchmark (TAB): A Dedicated Corpus and Evaluation Framework for Text Anonymizationcited by 95
  2. 2024Extract, Define, Canonicalize: An LLM-based Framework for Knowledge Graph Constructioncited by 70
  3. 2022Multi-VALUE: A Framework for Cross-Dialectal English NLPcited by 53
  4. 2021EXTRACTOR: Extracting Attack Behavior from Threat Reportscited by 19
  5. 2021Multilingual Coreference Resolution with Harmonized Annotationscited by 13
  6. 2021DocAMR: Multi-Sentence AMR Representation and Evaluationcited by 12
  7. 2023Beyond Rule-based Named Entity Recognition and Relation Extraction for Process Model Generation from Natural Language Textcited by 8
  8. 2022Who are you referring to? Coreference resolution in image narrationscited by 7
  9. 2024Sketch Then Generate: Providing Incremental User Feedback and Guiding LLM Code Generation through Language-Oriented Code Sketchescited by 7
  10. 2024MORTAR: Multi-turn Metamorphic Testing for LLM-based Dialogue Systemscited by 7
  11. 2023Challenges to Evaluating the Generalization of Coreference Resolution Models: A Measurement Modeling Perspectivecited by 6
  12. 2024A Universal Prompting Strategy for Extracting Process Model Information from Natural Language Text using Large Language Modelscited by 6
19 more
  1. 2021Dependency Parsing with Bottom-up Hierarchical Pointer Networkscited by 5
  2. 2022End-to-end Multilingual Coreference Resolution with Mention Head Predictioncited by 4
  3. 2023A Survey on Semantic Processing Techniquescited by 4
  4. 2023RGAT: A Deeper Look into Syntactic Dependency Information for Coreference Resolutioncited by 3
  5. 2024Exploring Multiple Strategies to Improve Multilingual Coreference Resolution in CorefUDcited by 3
  6. 2025Trusted Knowledge Extraction for Operations and Maintenance Intelligencecited by 2
  7. 2021A Comprehensive Comparison of Word Embeddings in Event & Entity Coreference Resolutioncited by 1
  8. 2022One Graph to Rule them All: Using NLP and Graph Neural Networks to analyse Tolkien's Legendariumcited by 1
  9. 2023A Sequence-to-Sequence Approach for Arabic Pronoun Resolutioncited by 1
  10. 2023Named Entity Resolution in Personal Knowledge Graphscited by 1
  11. 2026IRIS: Intent Resolution via Inference-time Saccades for Open-Ended VQA in Large Vision-Language Modelscited by 1
  12. 2022Towards Learning Through Open-Domain Dialogcited by 0
  13. 2022Review of coreference resolution in English and Persiancited by 0
  14. 2023Characterizing Latent Perspectives of Media Houses Towards Public Figurescited by 0
  15. 2024Generalizing Fairness to Generative Language Models via Reformulation of Non-discrimination Criteriacited by 0
  16. 2024Persian Pronoun Resolution: Leveraging Neural Networks and Language Modelscited by 0
  17. 2024Assisted Data Annotation for Business Process Information Extraction from Textual Documentscited by 0
  18. 2025Large Multi-modal Model Cartographic Map Comprehension for Textual Locality Georeferencingcited by 0
  19. 2026What Makes a Good Query? Measuring the Impact of Human-Confusing Linguistic Features on LLM Performancecited by 0