A Chinese Question Answering System in Medical Domain

  • Guofei Feng (冯郭飞)
  • Zhikang Du (杜智康)
  • Xing Wu (武星)Email author


Question answering systems offer a friendly interface for human beings to interact with massive online information. It is time consuming for users to retrieve useful medical information with search engines among massive online websites. An effort is made to build a Chinese Question Answering System in Medical Domain (CQASMD) to provide useful medical information for users. A large medical knowledge base with more than 300 thousand medical terms and their descriptions is firstly constructed to store the structured medical knowledge data, and classified with the FastText model. Furthermore, a Word2Vec model is adopted to capture the semantic meanings of words, and the questions and answers are processed with sentence embedding to capture semantic context information. Users’ questions are firstly classified and processed into a sentence vector and a matching algorithm is adopted to match the most similar question. After querying the constructed medical knowledge base, the corresponding answers to previous questions are responded to users. The architecture and flowchart of CQASMD is proposed, which will play an important role in self disease diagnosis and treatment.

Key words

question answering knowledge base FastText sentence embedding disease diagnosis 

CLC number

TP 391 


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Copyright information

© Shanghai Jiaotong University and Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Guofei Feng (冯郭飞)
    • 1
  • Zhikang Du (杜智康)
    • 1
  • Xing Wu (武星)
    • 1
    • 2
    Email author
  1. 1.School of Computer Engineering and ScienceShanghai UniversityShanghaiChina
  2. 2.Shanghai Institute for Advanced Communication and Data ScienceShanghai UniversityShanghaiChina

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