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      Turkish keyphrase extraction using multi-criterion ranking

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      Author
      Özdemir, Bahadır
      Çiçekli, İlyas
      Date
      2009-09
      Source Title
      24th International Symposium on Computer and Information Sciences, ISCIS 2009
      Publisher
      IEEE
      Pages
      269 - 273
      Language
      English
      Type
      Conference Paper
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      Abstract
      Keyphrases have been extensively used for indexing and searching in databases and information retrieval systems. In addition, they provide useful information about semantic content of a document. In this paper, we propose an algorithm for automating Turkish keyphrase extraction. Several features of candidate phrases are exploited and form the extraction task as a problem of finding optimal set of candidate phrases. We use multi-criterion ranking to tackle this problem. © 2009 IEEE.
      Keywords
      Keyphrase extraction
      Multi-criterion ranking
      Optimal sets
      Semantic content
      Turkishs
      Information retrieval
      Information retrieval systems
      Information services
      Feature extraction
      Permalink
      http://hdl.handle.net/11693/28670
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/ISCIS.2009.5291825
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      • Department of Computer Engineering 1409
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