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Searching for authors named "Isabelle Moulinier" – sorted by Relevance.

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  • Thomson Legal and Regulatory Experiments for CLEF 2002  
  • by Isabelle Moulinier, Hugo Molina-salgado — 2002 — In Working Notes for the CLEF 2002 Workshop, Italy 2002
  • …Thomson Legal and Regulatory participated in the monolingual, the bilingual and the multilingual tracks. Our monolingual runs added Swedish to the languages we had submitted in previous participations. Our bilingual and multilingual efforts used English as the query language. We experimented with di…
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  • Applying an Existing Machine Learning Algorithm to Text Categorization  
  • by Isabelle Moulinier, Jean-gabriel Ganascia — 1996 — Connectionist, Statistical, and Symbolic Approaches to Learning for Natural Language Processing
  • …. The information retrieval community is becoming increasingly interested in machine learning techniques, of which text categorization is an application. This paper describes how we have applied an existing similarity-based learning algorithm, Charade, to the text categorization problem and compares…
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  • Organized by:  
  • by Isabelle Moulinier, Thomson Reuters, Paul Mcnamee
  • …In cooperation with the InfoPlosion Project of Japan: http://www.infoplosion.nii.ac.jp/info-plosion/ctr.php/m/IndexEng/a/Index / LEGAL NOTICE: Copyright for individual papers in these proceedings resides with the individual authors of each paper. To copy otherwise, to republish, to post on servers o…
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  • A Framework for Comparing Text Categorization Approaches  
  • by Isabelle Moulinier, Universit'e Paris Vi — 1996 — Stanford University
  • …For the past few years, text categorization has emerged as an application domain to machine learning techniques. Several approaches have already been proposed. This paper does not present yet another technique. It is rather an attempt to unify the approaches encountered so far. Moreover this state-o…
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  • A Framework for Comparing Text Categorization Approaches  
  • by Isabelle Moulinier Laforia-Ibp-Cnrs, Isabelle Moulinier, Universit'e Paris Vi — 1996 — Stanford University
  • …For the past few years, text categorization has emerged as an application domain to machine learning techniques. Several approaches have already been proposed. This paper does not present yet another technique. It is rather an attempt to unify the approaches encountered so far. Moreover this st…
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