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      • Department of Computer Engineering
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      Lexical cohesion and term proximity in document ranking

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      Author(s)
      Vechtomova, O.
      Karamuftuoglu, M.
      Date
      2008-07
      Source Title
      Information Processing & Management
      Print ISSN
      0306-4573
      Publisher
      Elsevier Ltd
      Volume
      44
      Issue
      4
      Pages
      1485 - 1502
      Language
      English
      Type
      Article
      Item Usage Stats
      123
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      Abstract
      We 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.
      Keywords
      Information retrieval
      Lexical cohesion
      Term proximity
      Feedback
      Query processing
      Baseline systems
      Short-distance collocation
      Program documentation
      Permalink
      http://hdl.handle.net/11693/23080
      Published Version (Please cite this version)
      http://dx.doi.org/10.1016/j.ipm.2008.01.003
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