# Anaphora and Coreference Resolution: A Review

arXiv: https://arxiv.org/abs/1805.11824 · HTML: https://mlsanity.com/paper/1805.11824/

## Key facts

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

## Built on by (most cited first, 30 of 31)

- [The Text Anonymization Benchmark (TAB): A Dedicated Corpus and Evaluation Framework for Text Anonymization](https://mlsanity.com/paper/2202.00443/) (2022)
- [Extract, Define, Canonicalize: An LLM-based Framework for Knowledge Graph Construction](https://mlsanity.com/paper/2404.03868/) (2024)
- [Multi-VALUE: A Framework for Cross-Dialectal English NLP](https://mlsanity.com/paper/2212.08011/) (2022)
- [EXTRACTOR: Extracting Attack Behavior from Threat Reports](https://mlsanity.com/paper/2104.08618/) (2021)
- [Multilingual Coreference Resolution with Harmonized Annotations](https://mlsanity.com/paper/2107.12088/) (2021)
- [DocAMR: Multi-Sentence AMR Representation and Evaluation](https://mlsanity.com/paper/2112.08513/) (2021)
- [Beyond Rule-based Named Entity Recognition and Relation Extraction for Process Model Generation from Natural Language Text](https://mlsanity.com/paper/2305.03960/) (2023)
- [Who are you referring to? Coreference resolution in image narrations](https://mlsanity.com/paper/2211.14563/) (2022)
- [Sketch Then Generate: Providing Incremental User Feedback and Guiding LLM Code Generation through Language-Oriented Code Sketches](https://mlsanity.com/paper/2405.03998/) (2024)
- [MORTAR: Multi-turn Metamorphic Testing for LLM-based Dialogue Systems](https://mlsanity.com/paper/2412.15557/) (2024)
- [Challenges to Evaluating the Generalization of Coreference Resolution Models: A Measurement Modeling Perspective](https://mlsanity.com/paper/2303.09092/) (2023)
- [A Universal Prompting Strategy for Extracting Process Model Information from Natural Language Text using Large Language Models](https://mlsanity.com/paper/2407.18540/) (2024)
- [Dependency Parsing with Bottom-up Hierarchical Pointer Networks](https://mlsanity.com/paper/2105.09611/) (2021)
- [End-to-end Multilingual Coreference Resolution with Mention Head Prediction](https://mlsanity.com/paper/2209.12516/) (2022)
- [A Survey on Semantic Processing Techniques](https://mlsanity.com/paper/2310.18345/) (2023)
- [RGAT: A Deeper Look into Syntactic Dependency Information for Coreference Resolution](https://mlsanity.com/paper/2309.04977/) (2023)
- [Exploring Multiple Strategies to Improve Multilingual Coreference Resolution in CorefUD](https://mlsanity.com/paper/2408.16893/) (2024)
- [Trusted Knowledge Extraction for Operations and Maintenance Intelligence](https://mlsanity.com/paper/2507.22935/) (2025)
- [A Comprehensive Comparison of Word Embeddings in Event & Entity Coreference Resolution](https://mlsanity.com/paper/2110.05115/) (2021)
- [One Graph to Rule them All: Using NLP and Graph Neural Networks to analyse Tolkien's Legendarium](https://mlsanity.com/paper/2210.07871/) (2022)
- [A Sequence-to-Sequence Approach for Arabic Pronoun Resolution](https://mlsanity.com/paper/2305.11529/) (2023)
- [Named Entity Resolution in Personal Knowledge Graphs](https://mlsanity.com/paper/2307.12173/) (2023)
- [IRIS: Intent Resolution via Inference-time Saccades for Open-Ended VQA in Large Vision-Language Models](https://mlsanity.com/paper/2602.16138/) (2026)
- [Towards Learning Through Open-Domain Dialog](https://mlsanity.com/paper/2202.03040/) (2022)
- [Review of coreference resolution in English and Persian](https://mlsanity.com/paper/2211.04428/) (2022)
- [Characterizing Latent Perspectives of Media Houses Towards Public Figures](https://mlsanity.com/paper/2309.06112/) (2023)
- [Generalizing Fairness to Generative Language Models via Reformulation of Non-discrimination Criteria](https://mlsanity.com/paper/2403.08564/) (2024)
- [Persian Pronoun Resolution: Leveraging Neural Networks and Language Models](https://mlsanity.com/paper/2405.10714/) (2024)
- [Assisted Data Annotation for Business Process Information Extraction from Textual Documents](https://mlsanity.com/paper/2410.01356/) (2024)
- [Large Multi-modal Model Cartographic Map Comprehension for Textual Locality Georeferencing](https://mlsanity.com/paper/2507.08575/) (2025)

## 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.