Adapting a Full-text Information Retrieval System to the Computer Troubleshooting Domain.
Peter G. Anick:
Adapting a Full-text Information Retrieval System to the Computer Troubleshooting Domain.
SIGIR 1994: 349-358@inproceedings{DBLP:conf/sigir/Anick94,
author = {Peter G. Anick},
editor = {W. Bruce Croft and
C. J. van Rijsbergen},
title = {Adapting a Full-text Information Retrieval System to the Computer
Troubleshooting Domain},
booktitle = {Proceedings of the 17th Annual International ACM-SIGIR Conference
on Research and Development in Information Retrieval. Dublin,
Ireland, 3-6 July 1994 (Special Issue of the SIGIR Forum)},
publisher = {ACM/Springer},
year = {1994},
isbn = {3-540-19889-X},
pages = {349-358},
ee = {db/conf/sigir/Anick94.html},
crossref = {DBLP:conf/sigir/94},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX
Abstract
There has been much research in full-text information retrieval on automated and semi-automated methods of query expansion to improve the effectiveness of user queries.
In this paper we consider the challenges of tuning an IR system to the domain of computer troubleshooting, where user queries tend to be very short and natural language query terms are intermixed with terminology from a variety of technical sublanguages.
A number of heuristic techniques for domain knowledge acquisition are described in which the complementary contributions of query log data and corpus analysis are exploited.
We discuss the implications of sublanguage domain tuning for run-time query expansion tools and document indexing, arguing that the conventional devices for more purely "natural language" domains may be inadequate.
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BibTeX
Printed Edition
W. Bruce Croft, C. J. van Rijsbergen (Eds.):
Proceedings of the 17th Annual International ACM-SIGIR Conference on Research and Development in Information Retrieval. Dublin, Ireland, 3-6 July 1994 (Special Issue of the SIGIR Forum).
ACM/Springer 1994, ISBN 3-540-19889-X
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