Question intention analysis and entropy-based paragraph extraction for medical question answering

Wen-Hsiang Lu, Chia Ming Tung, Chi Wei Lin

研究成果: Conference contribution

摘要

Although search engines are good at short query search, they are currently not effective for long query search or natural language question answering. Automatic question answering systems (AQAS) have been developed to solve this problem in recent years. However, general AQAS still suffer from a few problems. For example, laypersons usually use non-professional terms to express medical questions, and thus this will make general AQAS extract inappropriate answers. Besides, according to our observation, we found that most of medical questions contain not only medical terms but also question intention. Generally, AQAS is composed of three modules: question analysis, document retrieval and answer extraction. In this paper, we particularly focus on dealing with the two parts question analysis and answer extraction. Our main contributions are to propose the Question Intention Model (QIM) for question analysis and Entropy-based Paragraph Extraction Model (EPEM) for answer extraction.

原文English
主出版物標題6th World Congress of Biomechanics, WCB 2010 - In Conjunction with 14th International Conference on Biomedical Engineering, ICBME and 5th Asia Pacific Conference on Biomechanics, APBiomech
頁面1582-1586
頁數5
DOIs
出版狀態Published - 2010 十月 22
事件6th World Congress of Biomechanics, WCB 2010 - In Conjunction with 14th International Conference on Biomedical Engineering, ICBME and 5th Asia Pacific Conference on Biomechanics, APBiomech - Singapore, Singapore
持續時間: 2010 八月 12010 八月 6

出版系列

名字IFMBE Proceedings
31 IFMBE
ISSN(列印)1680-0737

Other

Other6th World Congress of Biomechanics, WCB 2010 - In Conjunction with 14th International Conference on Biomedical Engineering, ICBME and 5th Asia Pacific Conference on Biomechanics, APBiomech
國家Singapore
城市Singapore
期間10-08-0110-08-06

All Science Journal Classification (ASJC) codes

  • Bioengineering
  • Biomedical Engineering

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