mlsanityData to 7 Oct 2026

Coreference Resolution for the Biomedical Domain: A Survey

arXiv 2109.12424 ↗First posted 25 Sep 2021cs.CL cs.LGcited by 5

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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

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2019BioBERT: a pre-trained biomedical language representation model for biomedical text miningcited by 1,935
  3. 2019Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelismcited by 1,829
  4. 2019SciBERT: A Pretrained Language Model for Scientific Textcited by 1,404
  5. 2019Publicly Available Clinical BERT Embeddingscited by 995
  6. 2019SpanBERT: Improving Pre-training by Representing and Predicting Spanscited by 832
  7. 2019Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasetscited by 298
  8. 2017End-to-end Neural Coreference Resolutioncited by 240
  9. 2020Self-Alignment Pretraining for Biomedical Entity Representationscited by 233
  10. 2018Higher-order Coreference Resolution with Coarse-to-fine Inferencecited by 150
  11. 2019BERT for Coreference Resolution: Baselines and Analysiscited by 125
  12. 2019Coreference Resolution as Query-based Span Predictioncited by 91
7 more
  1. 2020Coreferential Reasoning Learning for Language Representationcited by 80
  2. 2020BioMegatron: Larger Biomedical Domain Language Modelcited by 76
  3. 2020Biomedical Entity Representations with Synonym Marginalizationcited by 59
  4. 2020UmlsBERT: Clinical Domain Knowledge Augmentation of Contextual Embeddings Using the Unified Medical Language System Metathesauruscited by 53
  5. 2020CODER: Knowledge infused cross-lingual medical term embedding for term normalizationcited by 53
  6. 2021Improving Biomedical Pretrained Language Models with Knowledgecited by 36
  7. 2019Integrating Graph Contextualized Knowledge into Pre-trained Language Modelscited by 26

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 1; 2023: 0; 2024: 0; 2025: 2; 2026: 2.

5 papers.