篇名 | Supporting Evidence Retrieval for Answering Yes/No Questions |
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卷期 | 23:2 |
作者 | Meng-Tse Wu 、 Yi-Chung Lin 、 Keh-Yih Su |
頁次 | 047-066 |
關鍵字 | Supporting Evidence Retrieval 、 Q&A for Yes/No Questions 、 THCI Core |
出刊日期 | 201812 |
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.