Analysis of word sense disambiguation-based information retrieval

  • Authors:

  • Jacques Guyot;Gilles Falquet;Saïd Radhouani;Karim Benzineb

  • Affiliations:

  • Centre Universitaire dInformatique, University of Geneva, Carouge, Switzerland;Centre Universitaire dInformatique, University of Geneva, Carouge, Switzerland;Centre Universitaire dInformatique, University of Geneva, Carouge, Switzerland;Centre Universitaire dInformatique, University of Geneva, Carouge, Switzerland

  • Venue:
  • CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
  • Year:
  • 2008

  • CLEF 2008: ad hoc track overview

    CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access

Quantified Score

Hi-index 0.00

Visualization

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.