On document relevance and lexical cohesion between query terms

dc.citation.epage1247en_US
dc.citation.issueNumber5en_US
dc.citation.spage1230en_US
dc.citation.volumeNumber42en_US
dc.contributor.authorVechtomova, O.en_US
dc.contributor.authorKaramuftuoglu, M.en_US
dc.contributor.authorRobertson, S. E.en_US
dc.date.accessioned2016-02-08T10:18:18Z
dc.date.available2016-02-08T10:18:18Z
dc.date.issued2006en_US
dc.departmentDepartment of Computer Engineeringen_US
dc.description.abstractLexical cohesion is a property of text, achieved through lexical-semantic relations between words in text. Most information retrieval systems make use of lexical relations in text only to a limited extent. In this paper we empirically investigate whether the degree of lexical cohesion between the contexts of query terms' occurrences in a document is related to its relevance to the query. Lexical cohesion between distinct query terms in a document is estimated on the basis of the lexical-semantic relations (repetition, synonymy, hyponymy and sibling) that exist between there collocates - words that co-occur with them in the same windows of text. Experiments suggest significant differences between the lexical cohesion in relevant and non-relevant document sets exist. A document ranking method based on lexical cohesion shows some performance improvements. © 2006 Elsevier Ltd. All rights reserved.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T10:18:18Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2006en
dc.identifier.doi10.1016/j.ipm.2006.01.008en_US
dc.identifier.issn0306-4573
dc.identifier.urihttp://hdl.handle.net/11693/23730
dc.language.isoEnglishen_US
dc.publisherElsevieren_US
dc.relation.isversionofhttp://dx.doi.org/10.1016/j.ipm.2006.01.008en_US
dc.source.titleInformation Processing and Managementen_US
dc.subjectDocument relevanceen_US
dc.subjectInformation retrievalen_US
dc.subjectLexical cohesionen_US
dc.subjectWord collocationen_US
dc.subjectWord processingen_US
dc.titleOn document relevance and lexical cohesion between query termsen_US
dc.typeArticleen_US

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