Deakin University
Browse

File(s) under permanent embargo

A hybrid question answering schema using encapsulated semantics in lexical resources

conference contribution
posted on 2006-01-01, 00:00 authored by Bahadorreza OfoghiBahadorreza Ofoghi, John YearwoodJohn Yearwood, R Ghosh
Question Answering systems, as an extreme of the Information Retrieval field, could save lots of time and effort in satisfying a specific information need. In this regard, there are still many challenges to be resolved by current state-of-the-art systems as they cope with free texts. We propose a new hybrid question answering schema capable of answering questions with respect to different semantically related syntactically mismatched situations either in a structured or unstructured semantic format. We have exploited FrameNet and WordNet lexical resources and implemented the prototype system in a TREC-friendly fashion to obtain results comparable with outstanding participant systems in TREC 2004.

History

Pagination

1276-1280

Location

Hobart, Tasmania

Start date

2006-12-04

End date

2006-12-08

ISSN

0302-9743

ISBN-13

9783540497875

ISBN-10

3540497870

Language

eng

Publication classification

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

Copyright notice

2006, Springer

Editor/Contributor(s)

Sattar A, Kang B

Title of proceedings

AI 2006: Advances in Artificial Intelligence. 19th Australian Joint Conference on Artificial Intelligence Hobart, Australia, December 4-8, 2006 Proceedings

Event

Artifical Intelligence. Conference (2006 : 19th : Hobart, Tasmania)

Publisher

Springer Verlag

Place of publication

Berlin, Germany

Usage metrics

    Research Publications

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC