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篇名
Question Analysis and Answer Passage Retrieval for Opinion Question Answering Systems
作者 Lun-Wei Ku (Lun-Wei Ku)Yu-Ting Liang (Yu-Ting Liang)Hsin-Hsi Chen (Hsin-Hsi Chen)
中文摘要
Question answering systems provide an elegant way for people to access an underlying knowledge base. However, people are interested in not only factual questions, but also opinions. This paper deals with question analysis and answer passage retrieval in opinion QA systems. For question analysis, six opinion question types are defined. A two-layered framework utilizing two question type classifiers is proposed. Algorithms for these two classifiers are described. The performance achieves 87.8% in general question classification and 92.5% in opinion question classification. The question focus is detected to form a query for the information retrieval system and the question polarity is detected to retain relevant sentences which have the same polarity as the question. For answer passage retrieval, three components are introduced. Relevant sentences retrieved are further identified as to whether the focus (Focus Detection) is in a scope of opinion (Opinion Scope Identification) or not, and, if yes, whether the polarity of the scope and the polarity of the question (Polarity Detection) match with each other. The best model achieves an F-measure of 40.59% by adopting partial match for relevance detection at the level of meaningful unit. With relevance issues removed, the F-measure of the best model boosts up to 84.96%.
起訖頁 307-325
關鍵詞 Opinion ExtractionQuestion AnsweringQuestion TypeAnswer Passage Retrieval
刊名 中文計算語言學期刊  
期數 200809 (13:3期)
出版單位 中華民國計算語言學學會
該期刊-上一篇 A Language Information Retrieval Approach to Writing Assistance
該期刊-下一篇 An HNM Based Scheme for Synthesizing Mandarin Syllable Signal
 

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