Answering medical questions in Chinese using automatically mined knowledge and deep neural networks: an end-to-end solution.

Journal: BMC bioinformatics
Published Date:

Abstract

BACKGROUND: Medical information has rapidly increased on the internet and has become one of the main targets of search engine use. However, medical information on the internet is subject to the problems of quality and accessibility, so ordinary users are unable to obtain answers to their medical questions conveniently. As a solution, researchers build medical question answering (QA) systems. However, research on medical QA in the Chinese language lags behind work on English-based systems. This lag is mainly due to the difficulty of constructing a high-quality knowledge base and the underutilization of medical corpora in the Chinese language.

Authors

  • Li Zhang
    Department of Animal Nutrition and Feed Science, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.
  • Xiaoran Yang
    Department of Computer Science, Zhejiang University, Hangzhou, China.
  • Shijian Li
    Department of Computer Science, Zhejiang University, Hangzhou, 310027, China.
  • Tianyi Liao
    Department of Computer Science, Zhejiang University, Hangzhou, China.
  • Gang Pan
    College of Computer Science and Technology, Zhejiang University, Hangzhou, Zhejiang, China.