Coreference Resolution for the Biomedical Domain: A Survey
Not on the map. Why?
Abstract (arXiv)
Issues with coreference resolution are one of the most frequently mentioned challenges for information extraction from the biomedical literature. Thus, the biomedical genre has long been the second most researched genre for coreference resolution after the news domain, and the subject of a great deal of research for NLP in general. In recent years this interest has grown enormously leading to the development of a number of substantial datasets, of domain-specific contextual language models, and of several architectures. In this paper we review the state-of-the-art of coreference in the biomedical domain with a particular attention on these most recent developments.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 19 of its 58 references that are in the map. First posted on arXiv 25 Sep 2021.
Builds on
19 of 58 references.
References · 19
- 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
- 2019BioBERT: a pre-trained biomedical language representation model for biomedical text miningcited by 1,935
- 2019Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelismcited by 1,829
- 2019SciBERT: A Pretrained Language Model for Scientific Textcited by 1,404
- 2019Publicly Available Clinical BERT Embeddingscited by 995
- 2019SpanBERT: Improving Pre-training by Representing and Predicting Spanscited by 832
- 2019Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasetscited by 298
- 2017End-to-end Neural Coreference Resolutioncited by 240
- 2020Self-Alignment Pretraining for Biomedical Entity Representationscited by 233
- 2018Higher-order Coreference Resolution with Coarse-to-fine Inferencecited by 150
- 2019BERT for Coreference Resolution: Baselines and Analysiscited by 125
- 2019Coreference Resolution as Query-based Span Predictioncited by 91
7 more
- 2020Coreferential Reasoning Learning for Language Representationcited by 80
- 2020BioMegatron: Larger Biomedical Domain Language Modelcited by 76
- 2020Biomedical Entity Representations with Synonym Marginalizationcited by 59
- 2020UmlsBERT: Clinical Domain Knowledge Augmentation of Contextual Embeddings Using the Unified Medical Language System Metathesauruscited by 53
- 2020CODER: Knowledge infused cross-lingual medical term embedding for term normalizationcited by 53
- 2021Improving Biomedical Pretrained Language Models with Knowledgecited by 36
- 2019Integrating Graph Contextualized Knowledge into Pre-trained Language Modelscited by 26
Built on by
Citing papers per year: 2022: 1; 2023: 0; 2024: 0; 2025: 2; 2026: 2.
5 papers.
- 2022Who are you referring to? Coreference resolution in image narrationscited by 7
- 2025The Elephant in the Coreference Room: Resolving Coreference in Full-Length French Fiction Workscited by 4
- 2025BioCoref: Benchmarking Biomedical Coreference Resolution with LLMscited by 0
- 2026Do Lexical and Contextual Coreference Resolution Systems Degrade Differently under Mention Noise? An Empirical Study on Scientific Software Mentionscited by 0
- 2026Closing the Gap at CRAC 2026: Two-Stage Adaptation for LLM-Based Multilingual Coreference Resolutioncited by 0
- 2026Closing the Gap at CRAC 2026: Two-Stage Adaptation for LLM-Based Multilingual Coreference Resolution16 May 2026
- 2026Do Lexical and Contextual Coreference Resolution Systems Degrade Differently under Mention Noise? An Empirical Study on Scientific Software Mentions2 Apr 2026
- 2025BioCoref: Benchmarking Biomedical Coreference Resolution with LLMs29 Oct 2025
- 2025The Elephant in the Coreference Room: Resolving Coreference in Full-Length French Fiction Works17 Oct 2025
- 2022Who are you referring to? Coreference resolution in image narrations26 Nov 2022