English

Coreference Resolution for the Biomedical Domain: A Survey

Computation and Language 2021-09-28 v1 Machine Learning

Abstract

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.

Cite

@article{arxiv.2109.12424,
  title  = {Coreference Resolution for the Biomedical Domain: A Survey},
  author = {Pengcheng Lu and Massimo Poesio},
  journal= {arXiv preprint arXiv:2109.12424},
  year   = {2021}
}

Comments

accepted at CRAC2021@EMNLP2021

R2 v1 2026-06-24T06:19:31.735Z