Investigating the relationship between language model perplexity and IR precision-recall measures

Azzopardi, L., Girolami, M. and Van Rijsbergen, K. (2003) Investigating the relationship between language model perplexity and IR precision-recall measures. In: Annual ACM Conference on Research and Development in Information Retrieval, Toronto, Canada, July 28 - August 1 2003, pp. 369-370. ISBN 1581136463 (doi:10.1145/860435.860505)

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Abstract

An empirical study has been conducted investigating the relationship between the performance of an aspect based language model in terms of perplexity and the corresponding information retrieval performance obtained. It is observed, on the corpora considered, that the perplexity of the language model has a systematic relationship with the achievable precision recall performance though it is not statistically significant.

Item Type:Conference Proceedings
Additional Information:© ACM, 2003. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval http://doi.acm.org/10.1145/860435.860505
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Azzopardi, Dr Leif and Girolami, Prof Mark
Authors: Azzopardi, L., Girolami, M., and Van Rijsbergen, K.
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
College/School:College of Science and Engineering > School of Computing Science
Publisher:ACM Press
ISBN:1581136463
Copyright Holders:Copyright © 2003 ACM Press
First Published:First published in Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher including additional information statement.

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