Deakin University
Browse

File(s) under permanent embargo

The impact of semantic class identification and semantic role labeling on natural language answer extraction

conference contribution
posted on 2008-01-01, 00:00 authored by Bahadorreza OfoghiBahadorreza Ofoghi, John YearwoodJohn Yearwood, L Ma
In satisfying an information need by a Question Answering (QA) system, there are text understanding approaches which can enhance the performance of final answer extraction. Exploiting the FrameNet lexical resource in this process inspires analysis of the levels of semantic representation in the automated practice where the task of semantic class and role labeling takes place. In this paper, we analyze the impact of different levels of semantic parsing on answer extraction with respect to the individual sub-tasks of frame evocation and frame element assignment.

History

Volume

4956

Pagination

430-437

Location

Glasgow, Scotland

Start date

2008-03-30

End date

2008-04-03

ISBN-13

978-3-540-78645-0

ISBN-10

3540786457

Language

eng

Publication classification

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

Copyright notice

2008, Springer-Verlag Berlin Heidelberg

Editor/Contributor(s)

Macdonald C, Ounis I, Plachouras V, Ruthven I, White RW

Title of proceedings

ECIR 2008 : Proceedings of the 30th European Conference on Information Retrieval

Event

British Computer Society. Conference (30th : 2008 : Glasgow, Scotland)

Publisher

Springer

Place of publication

Berlin, Germany

Series

British Computer Society Conference

Usage metrics

    Research Publications

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC