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Erschienen in:
2009 | OriginalPaper | Buchkapitel
Question Answering Based on Answer Trustworthiness
verfasst von : Hyo-Jung Oh, Chung-Hee Lee, Yeo-Chan Yoon, Myung-Gil Jang
Erschienen in: Information Retrieval Technology
Verlag: Springer Berlin Heidelberg
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Nowadays, we are faced with finding “trustworthy” answers not only “relevant” answers. This paper proposes a QA model based on answer trustworthiness. Contrary to the past researches which focused simple trust factors of a document, we identified three different answer trustworthiness factors: 1) incorporating document quality at the document layer; 2) representing the authority and reputation of answer sources at the answer source layer; 3) verifying the answers by consulting various QA systems at the sub-QAs layer. In our experiments, the proposed method using all answer trustworthiness factors shows improvement: 237% (0.150 to 0.506 MRR) for answering effectiveness and 92% (28,993 to 2,293 min.) for indexing efficiency.