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The University of Alicante at CL-SR Track

  • Rafael M. Terol
  • Manuel Palomar
  • Patricio Martinez-Barco
  • Fernando Llopis
  • Rafael Muñoz
  • Elisa Noguera
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4022)

Abstract

In this paper, the new features that IR-n system applies on the topic processing for CL-SR are described. This set of features are based on applying logic forms to topics with the aim of incrementing the weight of topic terms according to a set of syntactic rules.

Keywords

Logic Form Document Collection Term Weight Dependency Tree Computational Linguistics 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Rafael M. Terol
    • 1
  • Manuel Palomar
    • 1
  • Patricio Martinez-Barco
    • 1
  • Fernando Llopis
    • 1
  • Rafael Muñoz
    • 1
  • Elisa Noguera
    • 1
  1. 1.Departamento de Lenguajes y Sistemas InformáticosUniversidad de AlicanteAlicanteSpain

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