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dc.contributor.authorGürkök, Hayrettinen_US
dc.contributor.authorKaramuftuoglu, Muraten_US
dc.contributor.authorSchaal, Markusen_US
dc.coverage.spatialLondon, United Kingdomen_US
dc.date.accessioned2016-02-08T11:35:20Z
dc.date.available2016-02-08T11:35:20Z
dc.date.issued2008en_US
dc.identifier.urihttp://hdl.handle.net/11693/26772
dc.descriptionDate of Conference: October 14 - 17, 2008en_US
dc.description.abstractTraditionally, information retrieval systems rank documents according to the query terms they contain. However, even if a document may contain all query terms, this does not guarantee that it is relevant to the query. The query terms can occur together in the same document, but may have been used in different contexts, expressing separate topics. Lexical cohesion is a characteristic of natural language texts, which can be used to determine whether the query terms are used in the same context in the document. In this paper we make use of a graph-based approach to capture term contexts and estimate the level of lexical cohesion in a document. To evaluate the performance of our system, we compare it against two benchmark systems using three TREC document collections. Copyright 2008 ACM.en_US
dc.language.isoEnglishen_US
dc.source.titleIIIX '08 Proceedings of the second international symposium on Information interaction in contexten_US
dc.relation.isversionofhttp://dx.doi.org/10.1145/1414694.1414704en_US
dc.subjectContextual information retrievalen_US
dc.subjectLexical cohesionen_US
dc.subjectTerm proximityen_US
dc.subjectAdhesionen_US
dc.subjectInformation retrieval systemsen_US
dc.subjectInformation servicesen_US
dc.subjectBenchmark systemsen_US
dc.subjectContextual information retrievalen_US
dc.subjectDocument collectionsen_US
dc.subjectGraph-baseden_US
dc.subjectLexical cohesionen_US
dc.subjectNatural language textsen_US
dc.subjectQuery termsen_US
dc.subjectTerm proximityen_US
dc.subjectInformation retrievalen_US
dc.titleA graph based approach to estimating lexical cohesionen_US
dc.typeConference Paperen_US
dc.departmentDepartment of Communication and Design
dc.departmentDepartment of Computer Engineering
dc.citation.spage35en_US
dc.citation.epage43en_US
dc.identifier.doi10.1145/1414694.1414704en_US
dc.publisherACMen_US


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