Simple comme EASy

Pierre Boullier 1 Lionel Clément 2, 3 Éric Villemonte de la Clergerie 1 Benoît Sagot 1
3 SIGNES - Linguistic signs, grammar and meaning: computational logic for natural language
INRIA Futurs, Université Sciences et Technologies - Bordeaux 1, École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB), Université Bordeaux Montaigne, CNRS - Centre National de la Recherche Scientifique : UMR5800
Abstract : This paper presents both parsing systems used by project ATOLL (INRIA) for the EASy parsing evaluation campaign (December, 2004). We give a few quantitative results in terms of coverage and parsing time. These experiments will allow the comparison of parsing results on huge corpus, but also show that deep parsing techniques can cope with large corpus while preserving their linguistic expressive power.
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  • HAL Id : hal-00413186, version 1



Pierre Boullier, Lionel Clément, Éric Villemonte de la Clergerie, Benoît Sagot. Simple comme EASy. TALN 05, 2005, Dourdan, France. pp.57-60. ⟨hal-00413186⟩



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