Biomedical event trigger detection by dependency-based word embedding.

Journal: BMC medical genomics
Published Date: Aug 10, 2016

Abstract

BACKGROUND: In biomedical research, events revealing complex relations between entities play an important role. Biomedical event trigger identification has become a research hotspot since its important role in biomedical event extraction. Traditional machine learning methods, such as support vector machines (SVM) and maxent classifiers, which aim to manually design powerful features fed to the classifiers, depend on the understanding of the specific task and cannot generalize to the new domain or new examples.

Authors

  • Jian Wang
    Veterinary Diagnostic Center, Shanghai Animal Disease Control Center, Shanghai, China.
  • Jianhai Zhang
    School of Computer Science and Technology, Dalian University of Technology, Dalian, China.
  • Yuan An
    College of Computing & Informatics, Drexel University, Philadelphia, USA.
  • Hongfei Lin
  • Zhihao Yang
    College of Computer Science and Technology, Dalian University of Technology, Dalian 116024, China.
  • Yijia Zhang
    School of Computer Science and Technology, Dalian University of Technology, Dalian, China.
  • Yuanyuan Sun
    School of Computer Science and Technology, Dalian University of Technology, Dalian, China.

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