Composition-driven symptom phrase recognition for Chinese medical consultation corpora.

Journal: BMC medical informatics and decision making
Published Date:

Abstract

BACKGROUND: Symptom phrase recognition is essential to improve the use of unstructured medical consultation corpora for the development of automated question answering systems. A majority of previous works typically require enough manually annotated training data or as complete a symptom dictionary as possible. However, when applied to real scenarios, they will face a dilemma due to the scarcity of the annotated textual resources and the diversity of the spoken language expressions.

Authors

  • Xuan Gu
    University of Chinese Academy of Sciences, Beijing, China.
  • Zhengya Sun
  • Wensheng Zhang
    Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu, China.