Multi-task learning for Chinese clinical named entity recognition with external knowledge.

Journal: BMC medical informatics and decision making
Published Date:

Abstract

BACKGROUND: Named entity recognition (NER) on Chinese electronic medical/healthcare records has attracted significantly attentions as it can be applied to building applications to understand these records. Most previous methods have been purely data-driven, requiring high-quality and large-scale labeled medical data. However, labeled data is expensive to obtain, and these data-driven methods are difficult to handle rare and unseen entities.

Authors

  • Ming Cheng
  • Shufeng Xiong
    Colleges of Information and Management Science, Henan Agricultural University, Zhengzhou, China.
  • Fei Li
    Institute for Precision Medicine, Tsinghua University, Beijing, China.
  • Pan Liang
    Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
  • Jianbo Gao
    Department of Radiology, the First Affiliated Hospital of Zhengzhou University, No. 1, East Jianshe Road, Zhengzhou, 450052, Henan, China. gaojianbo_cancer@163.com.