Conceptual Retrieval of Chinese Frequently Asked Healthcare Questions

Authors

  • Rey-Long Liu Department of Medical Informatics, Tzu Chi University Hualien, Taiwan, R.O.C.
  • Shu-Ling Lin Department of Medical Informatics, Tzu Chi University Hualien, Taiwan, R.O.C.

Keywords:

Frequently Asked Questions, Healthcare Information, FAQ Retrieval, Conceptual Retrieval, Conceptual Similarity, Semantic Structure

Abstract

Given a query (a health question), retrieval of relevant frequently asked questions (FAQs) is essential as the FAQs provide both reliable and readable information to healthcare consumers. The retrieval requires the estimation of the semantic similarity between the query and each FAQ. The similarity estimation is challenging as semantic structures of Chinese healthcare FAQs are quite different from those of the FAQs in other domains. In this paper, we propose a conceptual model for Chinese healthcare FAQs, and based on the conceptual model, present a technique ECA that estimates conceptual similarities between FAQs. Empirical evaluation shows that ECA can help various kinds of retrievers to rank relevant FAQs significantly higher. We also make ECA online to provide services for FAQ retrievers.

 URL: http://ijkcdt.net/xml/04193/04193.pdf

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Published

2015-06-30

How to Cite

Liu, R.-L., & Lin, S.-L. (2015). Conceptual Retrieval of Chinese Frequently Asked Healthcare Questions. International Journal of Knowledge Content Development & Technology, 5(1). Retrieved from https://ijkcdt.journals.publicknowledgeproject.org/index.php/ijkcdt/article/view/57

Issue

Vol. 5 No. 1 (2015)

Section

Articles

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Copyright (c) 2015 International Journal of Knowledge Content Development & Technology

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