@inproceedings{865adb4a681b4055bc76d2214719f863,
title = "Question answering based on answer trustworthiness",
abstract = "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.",
keywords = "Answer trustworthiness, Document quality, Question answering",
author = "Oh, \{Hyo Jung\} and Lee, \{Chung Hee\} and Yoon, \{Yeo Chan\} and Jang, \{Myung Gil\}",
year = "2009",
doi = "10.1007/978-3-642-04769-5\_27",
language = "English",
isbn = "3642047688",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "310--317",
booktitle = "Information Retrieval Technology - 5th Asia Information Retrieval Symposium, AIRS 2009, Proceedings",
note = "5th Asia Information Retrieval Symposium, AIRS 2009 ; Conference date: 21-10-2009 Through 23-10-2009",
}