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      • Department of Communication and Design
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      A graph based approach to estimating lexical cohesion

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      Author
      Gürkök, Hayrettin
      Karamuftuoglu, Murat
      Schaal, Markus
      Date
      2008
      Source Title
      IIIX '08 Proceedings of the second international symposium on Information interaction in context
      Publisher
      ACM
      Pages
      35 - 43
      Language
      English
      Type
      Conference Paper
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      Abstract
      Traditionally, 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.
      Keywords
      Contextual information retrieval
      Lexical cohesion
      Term proximity
      Adhesion
      Information retrieval systems
      Information services
      Benchmark systems
      Contextual information retrieval
      Document collections
      Graph-based
      Lexical cohesion
      Natural language texts
      Query terms
      Term proximity
      Information retrieval
      Permalink
      http://hdl.handle.net/11693/26772
      Published Version (Please cite this version)
      http://dx.doi.org/10.1145/1414694.1414704
      Collections
      • Department of Communication and Design 50
      • Department of Computer Engineering 1308

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