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Query recovery of short user queries: on query expansion with stopwords

Leveling, Johannes and Jones, Gareth J.F. (2010) Query recovery of short user queries: on query expansion with stopwords. In: SIGIR 2010 - 33rd international ACM SIGIR conference on Research and development in information retrieval, 19-23 July 2010, Geneva, Switzerland. ISBN 978-1-4503-0153-4

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Abstract

User queries to search engines are observed to predominantly contain inflected content words but lack stopwords and capitalization. Thus, they often resemble natural language queries after case folding and stopword removal. Query recovery aims to generate a linguistically well-formed query from a given user query as input to provide natural language processing tasks and cross-language information retrieval (CLIR). The evaluation of query translation shows that translation scores (NIST and BLEU) decrease after case folding, stopword removal, and stemming. A baseline method for query recovery reconstructs capitalization and stopwords, which considerably increases translation scores and significantly increases mean average precision for a standard CLIR task.

Item Type:Conference or Workshop Item (Poster)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:query reformulation; query expansion; CLIR;
Subjects:Computer Science > Machine translating
Computer Science > Information retrieval
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Next Generation Localisation (CNGL)
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Published in:Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval. . Association for Computing Machinery. ISBN 978-1-4503-0153-4
Publisher:Association for Computing Machinery
Official URL:http://dx.doi.org/10.1145/1835449.1835589
Copyright Information:Copyright is held by the author/owner(s).
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland
ID Code:15836
Deposited On:22 Nov 2010 14:22 by Shane Harper. Last Modified 22 Nov 2010 14:22

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