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A semantic approach to boost passage retrieval effectiveness for question answering
conference contribution
posted on 2006-01-01, 00:00 authored by Bahadorreza OfoghiBahadorreza Ofoghi, John YearwoodJohn Yearwood, R GhoshIn the current state of the rapid growth of information resources and the huge number of requests submitted by users to existing information retrieval systems; recently, Question Answering systems have attracted more attention to meet information needs providing users with more precise and focused retrieval units. As one of the most challenging and important processes of such systems is to retrieve the best related text excerpts with regard to the questions, we propose a novel approach to exploit not only the syntax of the natural language of the questions and texts, but also the semantics relayed beneath them via a semantic question rewriting and passage retrieval task. The semantic structure used to address the surface mismatch of the semantically related passages and queries is FrameNet which is a lexical resource for English constituted based on frame semantics. We have run our proposed approach on a subset of the TREC 2004 factoid questions to retrieve passages containing correct answers from the AQUAINT collection and we have obtained promising results.
History
Event
Australasian Computer Science. Conference (29th : 2006 : Hobart, Tas.)Volume
48Pagination
95 - 101Publisher
Association for Computing MachineryLocation
Hobart, TasmaniaPlace of publication
New York, N.Y.Start date
2006-01-01End date
2006-01-01ISSN
1445-1336ISBN-10
1920682309Language
engPublication classification
E1.1 Full written paper - refereed; E Conference publicationCopyright notice
2006, ACMEditor/Contributor(s)
V Estivill-Castro, G DobbieTitle of proceedings
ACSC 2006 : Proceedings of the 29th Australian Computer Science ConferenceUsage metrics
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