Apprentissage des grammaires catégorielles à partir de structures
Identifieur interne : 004C48 ( Hal/Checkpoint ); précédent : 004C47; suivant : 004C49Apprentissage des grammaires catégorielles à partir de structures
Auteurs : Jérôme Besombes [France] ; Jean-Yves Marion [France]Source :
Abstract
Nous présentons Alfa, un algorithme d'apprentissage des grammaires catégorielles. Nous nous intéressons à l'apprentissage à la limite à partir d'exemples positifs et les exemples sont des arbres de dérivations partiellement désetiquetés. Nous montrons qu'Alfa identifie la classe des grammaires catérogielles réversibles, une classe contenant strictement les grammaires rigides. En ce sens, ce résultat constitue une extension de l'algorithme de Kanazawa d'apprentissage des grammaires rigides.
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Hal:inria-00100100Le document en format XML
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<front><div type="abstract" xml:lang="fr">Nous présentons Alfa, un algorithme d'apprentissage des grammaires catégorielles. Nous nous intéressons à l'apprentissage à la limite à partir d'exemples positifs et les exemples sont des arbres de dérivations partiellement désetiquetés. Nous montrons qu'Alfa identifie la classe des grammaires catérogielles réversibles, une classe contenant strictement les grammaires rigides. En ce sens, ce résultat constitue une extension de l'algorithme de Kanazawa d'apprentissage des grammaires rigides.</div>
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<hal api="V3"><titleStmt><title xml:lang="fr">Apprentissage des grammaires catégorielles à partir de structures</title>
<author role="aut"><persName><forename type="first">Jérôme</forename>
<surname>Besombes</surname>
</persName>
<email></email>
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<author role="aut"><persName><forename type="first">Jean-Yves</forename>
<surname>Marion</surname>
</persName>
<email>Jean-Yves.Marion@lora.fr</email>
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<editor role="depositor"><persName><forename>Publications</forename>
<surname>Loria</surname>
</persName>
<email>publications@loria.fr</email>
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<editionStmt><edition n="v1" type="current"><date type="whenSubmitted">2006-09-26 10:14:09</date>
<date type="whenModified">2016-05-19 01:09:05</date>
<date type="whenReleased">2006-09-28 15:22:47</date>
<date type="whenProduced">2004</date>
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<name key="108626"><persName><forename>Publications</forename>
<surname>Loria</surname>
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<idno type="halRefHtml">Conférence Francophone d'Apprentissage - CAp'2004, 2004, Montpellier, France, Presse universitaire de Grenoble, pp.315-330, 2004</idno>
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<seriesStmt><idno type="stamp" n="INRIA">INRIA - Institut National de Recherche en Informatique et en Automatique</idno>
<idno type="stamp" n="CNRS">CNRS - Centre national de la recherche scientifique</idno>
<idno type="stamp" n="INPL">Institut National Polytechnique de Lorraine</idno>
<idno type="stamp" n="LORIA2">Publications du LORIA</idno>
<idno type="stamp" n="INRIA-NANCY-GRAND-EST">INRIA Nancy - Grand Est</idno>
<idno type="stamp" n="LORIA">LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications</idno>
<idno type="stamp" n="LORIA-TALC" p="LORIA">Traitement automatique des langues et des connaissances</idno>
<idno type="stamp" n="UNIV-LORRAINE">Université de Lorraine</idno>
<idno type="stamp" n="INRIA-LORRAINE">INRIA Nancy - Grand Est</idno>
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<note type="popular" n="0">No</note>
<note type="peer" n="1">Yes</note>
<note type="proceedings" n="1">Yes</note>
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<sourceDesc><biblStruct><analytic><title xml:lang="fr">Apprentissage des grammaires catégorielles à partir de structures</title>
<author role="aut"><persName><forename type="first">Jérôme</forename>
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<meeting><title>Conférence Francophone d'Apprentissage - CAp'2004</title>
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<imprint><publisher>Presse universitaire de Grenoble</publisher>
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<date type="datePub">2004</date>
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<term xml:lang="it">grammatical inference</term>
<term xml:lang="it">data mining</term>
<term xml:lang="it">fouille de données</term>
<term xml:lang="it">apprentissage</term>
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<abstract xml:lang="fr">Nous présentons Alfa, un algorithme d'apprentissage des grammaires catégorielles. Nous nous intéressons à l'apprentissage à la limite à partir d'exemples positifs et les exemples sont des arbres de dérivations partiellement désetiquetés. Nous montrons qu'Alfa identifie la classe des grammaires catérogielles réversibles, une classe contenant strictement les grammaires rigides. En ce sens, ce résultat constitue une extension de l'algorithme de Kanazawa d'apprentissage des grammaires rigides.</abstract>
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