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XML-Based Document Retrieval in Chinese Diseases Question Answering System

Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 274)

Abstract

A Chinese Diseases Question Answering System(Hestia QA) is being developed by ISTIC. As a part of Hestia QA, a XML-based document retrieval and similarity calculation model is established here. The texts which describe diseases in Chinese are indexed and wrapped in XML tags. The query is compared with related tags in XML document and the similarity is calculated with a deformed cosine similarity algorithm. The Chinese terms semantic similarity calculation algorithm is used to get the similarity of two terms in the system. The result shows that our model works well. The Chinese disease XML datasets will be analyzed in different granularity levels or dimensions. The corpus of diseases in Chinese will be established after the automatic XML annotation software is completed in the next step.

Keywords

ML Chinese Diseases QA Chinese Terms Similarity Cosine Similarity 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Haodong Zhang
    • 1
    • 2
  • Lijun Zhu
    • 2
  • Shuo Xu
    • 2
  • Weifeng Li
    • 2
  1. 1.Network Center, Science and Technology DailyBeijingChina
  2. 2.Institute of Scientific and Technical InformationBeijingChina

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