Semantic inference based on ontology for medical FAQ mining

Jui Feng Yeh, Ming Jun Chen, Chung-Hsien Wu

研究成果: Conference contribution

2 引文 斯高帕斯(Scopus)

摘要

This paper presents an approach to semantic inference for FAQ mining based on ontology. The questions are classified into ten intension categories using predefined question stemming keywords. The answers in the FAQ database are also clustered using latent semantic analysis (LSA) and K-means algorithm. For FAQ mining, given a query, the question part and answer part in an FAQ question-answer pair is matched with the input query, respectively. Finally, the probabilities estimated from these two parts are integrated and used to choose the most likely answer for the input query. These approaches are experimented on a medical FAQ system. The results show, that the proposed approach achieved a retrieval rate of 90% and outperformed the keyword-based approach.

原文English
主出版物標題NLP-KE 2003 - 2003 International Conference on Natural Language Processing and Knowledge Engineering, Proceedings
編輯Chengqing Zong
發行者Institute of Electrical and Electronics Engineers Inc.
頁面710-715
頁數6
ISBN(電子)0780379020, 9780780379022
DOIs
出版狀態Published - 2003 一月 1
事件International Conference on Natural Language Processing and Knowledge Engineering, NLP-KE 2003 - Beijing, China
持續時間: 2003 十月 262003 十月 29

出版系列

名字NLP-KE 2003 - 2003 International Conference on Natural Language Processing and Knowledge Engineering, Proceedings

Other

OtherInternational Conference on Natural Language Processing and Knowledge Engineering, NLP-KE 2003
國家/地區China
城市Beijing
期間03-10-2603-10-29

All Science Journal Classification (ASJC) codes

  • 人工智慧
  • 計算機理論與數學
  • 軟體

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