Improving the recall of biomedical named entity recognition with label re-correction and knowledge distillation.

Journal: BMC bioinformatics
Published Date: Jun 2, 2021

Abstract

BACKGROUND: Biomedical named entity recognition is one of the most essential tasks in biomedical information extraction. Previous studies suffer from inadequate annotated datasets, especially the limited knowledge contained in them.

Authors

  • Huiwei Zhou
    School of Computer Science and Technology, Dalian University of Technology, Dalian, Liaoning, China.
  • Zhe Liu
    Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea.
  • Chengkun Lang
    School of Computer Science and Technology, Dalian University of Technology, Chuangxinyuan Building, No. 2 Linggong Road, Ganjingzi District, Dalian, Liaoning, China.
  • Yibin Xu
    Research and Services Division of Materials Data and Integrated System (MaDIS), National Institute for Materials Science (NIMS), 1-2-1 Sengen, Tsukuba, Ibaraki 305-0047, Japan.
  • Yingyu Lin
    School of Foreign Languages, Dalian University of Technology, Arts Building, No. 2 Linggong Road, Ganjingzi District, Dalian, Liaoning, China.
  • Junjie Hou
    School of Business, Panjin Campus of Dalian University of Technology, No. 2 Dagong Road, Liaodongwan New District, PanJin, 124221, Liaoning, China.

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