A multiple distributed representation method based on neural network for biomedical event extraction.

Journal: BMC medical informatics and decision making
Published Date: Dec 20, 2017

Abstract

BACKGROUND: Biomedical event extraction is one of the most frontier domains in biomedical research. The two main subtasks of biomedical event extraction are trigger identification and arguments detection which can both be considered as classification problems. However, traditional state-of-the-art methods are based on support vector machine (SVM) with massive manually designed one-hot represented features, which require enormous work but lack semantic relation among words.

Authors

  • Anran Wang
    School of Computer Science and Technology, Dalian University of Technology, Dalian, China.
  • Jian Wang
    Veterinary Diagnostic Center, Shanghai Animal Disease Control Center, Shanghai, China.
  • Hongfei Lin
  • Jianhai Zhang
    School of Computer Science and Technology, Dalian University of Technology, Dalian, China.
  • Zhihao Yang
    College of Computer Science and Technology, Dalian University of Technology, Dalian 116024, China.
  • Kan Xu
    School of Computer Science and Technology, Dalian University of Technology, Dalian, China.

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