文章詳目資料

International Journal of Computational Linguistics And Chinese Language Processing THCI

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篇名 Supporting Evidence Retrieval for Answering Yes/No Questions
卷期 23:2
作者 Meng-Tse WuYi-Chung LinKeh-Yih Su
頁次 047-066
關鍵字 Supporting Evidence RetrievalQ&A for Yes/No QuestionsTHCI Core
出刊日期 201812

中文摘要

英文摘要

This paper proposes a new n-gram matching approach for retrieving the supporting evidence, which is a question related text passage in the given document, for answering Yes/No questions. It locates the desired passage according to the question text with an efficient and simple n-gram matching algorithm. In comparison with those previous approaches, this model is more efficient and easy to implement. The proposed approach was tested on a task of answering Yes/No questions of Taiwan elementary school Social Studies lessons. Experimental results showed that the performance of our proposed approach is 5% higher than the well-known Apache Lucene search engine.

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