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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 Ghosh
In 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

48

Pagination

95 - 101

Publisher

Association for Computing Machinery

Location

Hobart, Tasmania

Place of publication

New York, N.Y.

Start date

2006-01-01

End date

2006-01-01

ISSN

1445-1336

ISBN-10

1920682309

Language

eng

Publication classification

E1.1 Full written paper - refereed; E Conference publication

Copyright notice

2006, ACM

Editor/Contributor(s)

V Estivill-Castro, G Dobbie

Title of proceedings

ACSC 2006 : Proceedings of the 29th Australian Computer Science Conference

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