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Generalized syntactic and semantic models of query reformulation
University of Trento, Rovereto, Italy.
Google, Zürich, Switzerland.
Google, Zürich, Switzerland.
Linköping University, Department of Computer and Information Science, NLPLAB - Natural Language Processing Laboratory. Linköping University, The Institute of Technology.
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2010 (English)In: SIGIR '10 Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval, ACM Press, 2010, 283-290 p.Conference paper (Other academic)
Abstract [en]

We present a novel approach to query reformulation which combines syntactic and semantic information by means of generalized Levenshtein distance algorithms where the substitution operation costs are based on probabilistic term rewrite functions. We investigate unsupervised, compact and efficient models, and provide empirical evidence of their effectiveness. We further explore a generative model of query reformulation and supervised combination methods providing improved performance at variable computational costs. Among other desirable properties, our similarity measures incorporate information-theoretic interpretations of taxonomic relations such as specification and generalization.

Place, publisher, year, edition, pages
ACM Press, 2010. 283-290 p.
National Category
Engineering and Technology
URN: urn:nbn:se:liu:diva-60173DOI: 10.1145/1835449.1835498ISBN: 978-1-4503-0153-4OAI: diva2:355592
33rd international ACM SIGIR conference on Research and development in information retrieval (SIGIR 2010), 19-23 July 2010, Geneva, Switzerland
Available from: 2010-10-07 Created: 2010-10-07 Last updated: 2012-12-06Bibliographically approved

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Holmqvist, Maria
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NLPLAB - Natural Language Processing LaboratoryThe Institute of Technology
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