Query expansion with terms selected using lexical cohesion analysis of documents

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dc.citation.epage865en_US
dc.citation.issueNumber4en_US
dc.citation.spage849en_US
dc.citation.volumeNumber43en_US
dc.contributor.authorVechtomova, O.en_US
dc.contributor.authorKaramuftuoglu, M.en_US
dc.date.accessioned2016-02-08T10:13:49Z
dc.date.available2016-02-08T10:13:49Z
dc.date.issued2007-07en_US
dc.departmentDepartment of Computer Engineeringen_US
dc.description.abstractWe present new methods of query expansion using terms that form lexical cohesive links between the contexts of distinct query terms in documents (i.e., words surrounding the query terms in text). The link-forming terms (link-terms) and short snippets of text surrounding them are evaluated in both interactive and automatic query expansion (QE). We explore the effectiveness of snippets in providing context in interactive query expansion, compare query expansion from snippets vs. whole documents, and query expansion following snippet selection vs. full document relevance judgements. The evaluation, conducted on the HARD track data of TREC 2005, suggests that there are considerable advantages in using link-terms and their surrounding short text snippets in QE compared to terms selected from full-texts of documents. © 2006 Elsevier Ltd. All rights reserved.en_US
dc.identifier.doi10.1016/j.ipm.2006.09.004en_US
dc.identifier.issn0306-4573
dc.identifier.urihttp://hdl.handle.net/11693/23429
dc.language.isoEnglishen_US
dc.publisherElsevier Ltden_US
dc.relation.isversionofhttp://dx.doi.org/10.1016/j.ipm.2006.09.004en_US
dc.source.titleInformation Processing and Managementen_US
dc.subjectInteractive information retrievalen_US
dc.subjectLexical cohesionen_US
dc.subjectQuery expansionen_US
dc.subjectRelevance feedbacken_US
dc.subjectData reductionen_US
dc.subjectFeedbacken_US
dc.subjectInteractive computer systemsen_US
dc.subjectQuery languagesen_US
dc.subjectText processingen_US
dc.subjectWord processingen_US
dc.titleQuery expansion with terms selected using lexical cohesion analysis of documentsen_US
dc.typeArticleen_US
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