Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

THE USE OF TERM POSITION DEVICES IN RANKED OUTPUT EXPERIMENTS

THE USE OF TERM POSITION DEVICES IN RANKED OUTPUT EXPERIMENTS Term position information, as provided in some Boolean systems in the form of field restriction and term proximity, is reviewed and its value assessed. NonBoolean retrieval in the form of the ranked output experiment has not so far used term position information but has concentrated on schemes of term weighting. The use of term proximity devices is proposed here by analogy with Boolean techniques and seven algorithms are devised to incorporate the ideas of sentence matching, proximate terms, term order specification and term distance computations. It is hypothesised that term position will act as a precision device. A new search experiment is then described in which a test collection is processed into sentences and then output ranking using term position is obtained. Results are given for five algorithms compared against quorum searching as the benchmark. The best result increased the precision ratio by 18 and used proximate matching term pairs in sentences plus a distance component. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Documentation Emerald Publishing

THE USE OF TERM POSITION DEVICES IN RANKED OUTPUT EXPERIMENTS

Journal of Documentation , Volume 47 (1): 22 – Jan 1, 1991

Loading next page...
 
/lp/emerald-publishing/the-use-of-term-position-devices-in-ranked-output-experiments-cisGGq9jJK
Publisher
Emerald Publishing
Copyright
Copyright © Emerald Group Publishing Limited
ISSN
0022-0418
DOI
10.1108/eb026869
Publisher site
See Article on Publisher Site

Abstract

Term position information, as provided in some Boolean systems in the form of field restriction and term proximity, is reviewed and its value assessed. NonBoolean retrieval in the form of the ranked output experiment has not so far used term position information but has concentrated on schemes of term weighting. The use of term proximity devices is proposed here by analogy with Boolean techniques and seven algorithms are devised to incorporate the ideas of sentence matching, proximate terms, term order specification and term distance computations. It is hypothesised that term position will act as a precision device. A new search experiment is then described in which a test collection is processed into sentences and then output ranking using term position is obtained. Results are given for five algorithms compared against quorum searching as the benchmark. The best result increased the precision ratio by 18 and used proximate matching term pairs in sentences plus a distance component.

Journal

Journal of DocumentationEmerald Publishing

Published: Jan 1, 1991

There are no references for this article.