CMBEE: A constraint-based multi-task learning framework for biomedical event extraction.

Journal: Journal of biomedical informatics
Published Date: Jan 23, 2024

Abstract

OBJECTIVE: Event extraction plays a crucial role in natural language processing. However, in the biomedical domain, the presence of nested events adds complexity to event extraction compared to single events, and these events usually have strong semantic relationships and constraints. Previous approaches ignored the binding connections between these complex nested events. This study aims to develop a unified framework based on event constraint information that jointly extract biomedical event triggers and arguments and enhance the performance of nested biomedical event extraction.

Authors

  • Jingyue Hu
    Department of Computer Science, Harbin Institute of Technology, Shenzhen, 518055, China.
  • Buzhou Tang
  • Nan Lyu
    Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, 100088, China.
  • Yuxin He
    Department of Computer Science, Harbin Institute of Technology, Shenzhen, 518055, China.
  • Ying Xiong
    Department of Computer Science, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China.

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