HealthQA: A Chinese QA summary system for smart health

Yanshen Yin, Yong Zhang, Xiao Liu, Yan Zhang, Chunxiao Xing, Hsinchun Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Scopus citations


Although online health expert QA services can provide high quality information for health consumers, there is no Chinese question answering system built on knowledge from existing expert answers, leading to duplicated efforts of medical experts and reduced efficiency. To address this issue, we develop a Chinese QA system for smart health (HealthQA), which provides timely, automatic and valuable QA service. Our HealthQA collects diabetes expert question answer data from three major QA websites in China. We develop a hierarchical clustering method to group similar questions and answers, an extended similarity evaluation algorithm for retrieving relevant answers and a ranking based summarization for representing the answer. ROUGE and manual tests show that our system significantly outperforms the search engine.

Original languageEnglish (US)
Title of host publicationSmart Health - International Conference, ICSH 2014, Proceedings
Number of pages12
ISBN (Print)9783319084152
StatePublished - 2014
Event2nd International Conference for Smart Health, CSH 2014 - Beijing, China
Duration: Jul 10 2014Jul 11 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8549 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other2nd International Conference for Smart Health, CSH 2014


  • Chinese
  • QA system
  • health
  • similarity evaluation
  • summarization

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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