Lexical cohesion and term proximity in document ranking

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dc.citation.epage1502en_US
dc.citation.issueNumber4en_US
dc.citation.spage1485en_US
dc.citation.volumeNumber44en_US
dc.contributor.authorVechtomova, O.en_US
dc.contributor.authorKaramuftuoglu, M.en_US
dc.date.accessioned2016-02-08T10:08:39Z
dc.date.available2016-02-08T10:08:39Z
dc.date.issued2008-07en_US
dc.departmentDepartment of Computer Engineeringen_US
dc.description.abstractWe demonstrate effective new methods of document ranking based on lexical cohesive relationships between query terms. The proposed methods rely solely on the lexical relationships between original query terms, and do not involve query expansion or relevance feedback. Two types of lexical cohesive relationship information between query terms are used in document ranking: short-distance collocation relationship between query terms, and long-distance relationship, determined by the collocation of query terms with other words. The methods are evaluated on TREC corpora, and show improvements over baseline systems. © 2008 Elsevier Ltd. All rights reserved.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T10:08:39Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2008en
dc.identifier.doi10.1016/j.ipm.2008.01.003en_US
dc.identifier.issn0306-4573
dc.identifier.urihttp://hdl.handle.net/11693/23080
dc.language.isoEnglishen_US
dc.publisherElsevier Ltden_US
dc.relation.isversionofhttp://dx.doi.org/10.1016/j.ipm.2008.01.003en_US
dc.source.titleInformation Processing & Managementen_US
dc.subjectInformation retrievalen_US
dc.subjectLexical cohesionen_US
dc.subjectTerm proximityen_US
dc.subjectFeedbacken_US
dc.subjectQuery processingen_US
dc.subjectBaseline systemsen_US
dc.subjectShort-distance collocationen_US
dc.subjectProgram documentationen_US
dc.titleLexical cohesion and term proximity in document rankingen_US
dc.typeArticleen_US

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