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Vincent Claveau, Pascale Sébillot,
Extension de requêtes par lien sémantique
nom-verbe acquis sur corpus,
Actes de la 11ème conférence
de Traitement automatique des langues naturelles (TALN'04), Fez,
Morocco,
May 2004,
Document
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Abstract In the information
retrieval field, managing the equivalent reformulations of a same idea
is a key point to improve the performances of existing retrieval
systems. One way to reach this goal is to use specialised semantic
resources that are suited to the document database on which the queries
are processed. In this paper, we show that the semantic links between
nouns and verbs called qualia links, defined in the Generative lexicon
framework (Pustejovsky, 1995), enable us to improve the results of
retrieval systems. To achieve this goal, we automatically extract from
the document database noun-verb pairs that are in qualia relation with
the acquisition system ASARES (Claveau, 2003a). These pairs are then
used to expand the queries of a retrieval system. With the help of the
Amaryllis evaluation campaign data, we show that these expansions
actually lead to better results, especially for the first documents
proposed to the user.
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