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Analysis of Word Sense Disambiguation-Based Information Retrieval

  • Jacques Guyot
  • Gilles Falquet
  • Saïd Radhouani
  • Karim Benzineb
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5706)

Abstract

Several studies have tried to improve retrieval performances based on automatic Word Sense Disambiguation techniques. So far, most attempts have failed. We try, through this paper, to give a deep analysis of the reasons behind these failures. During our participation at the Robust WSD task at CLEF 2008, we performed experiments on monolingual (English) and bilingual (Spanish to English) collections. Our official results and a deep analysis are described below, along with our conclusions and perspectives.

Keywords

Information Retrieval Retrieval Performance Query Expansion Mean Average Precision Word Sense 
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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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Jacques Guyot
    • 1
  • Gilles Falquet
    • 1
  • Saïd Radhouani
    • 1
  • Karim Benzineb
    • 1
  1. 1.Centre Universitaire dInformatiqueUniversity of GenevaCarougeSwitzerland

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