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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Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Université Nancy 2</orgName><orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName><placeName><settlement type="city">Nancy</settlement><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Institut national polytechnique de Lorraine</orgName><orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName></affiliation></author></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="mix" xml:lang="it"><term>apprentissage</term><term>data mining</term><term>fouille de données</term><term>grammatical inference</term><term>inférence grammaticale</term><term>learning</term></keywords></textClass></profileDesc></teiHeader><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></front></TEI><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><idno type="halauthor">131342</idno><orgName ref="#struct-364475"></orgName><affiliation ref="#struct-2347"></affiliation></author><author role="aut"><persName><forename type="first">Jean-Yves</forename><surname>Marion</surname></persName><email>Jean-Yves.Marion@lora.fr</email><idno type="halauthor">130683</idno><orgName ref="#struct-364480"></orgName><affiliation ref="#struct-2347"></affiliation></author><editor role="depositor"><persName><forename>Publications</forename><surname>Loria</surname></persName><email>publications@loria.fr</email></editor></titleStmt><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></edition><respStmt><resp>contributor</resp><name key="108626"><persName><forename>Publications</forename><surname>Loria</surname></persName><email>publications@loria.fr</email></name></respStmt></editionStmt><publicationStmt><distributor>CCSD</distributor><idno type="halId">inria-00100100</idno><idno type="halUri">https://hal.inria.fr/inria-00100100</idno><idno type="halBibtex">besombes:inria-00100100</idno><idno type="halRefHtml">Conférence Francophone d'Apprentissage - CAp'2004, 2004, Montpellier, France, Presse universitaire de Grenoble, pp.315-330, 2004</idno><idno type="halRef">Conférence Francophone d'Apprentissage - CAp'2004, 2004, Montpellier, France, Presse universitaire de Grenoble, pp.315-330, 2004</idno></publicationStmt><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><idno type="stamp" n="LABO-LORIA-SET" p="LORIA">LABO-LORIA-SET</idno></seriesStmt><notesStmt><note type="commentary">Colloque avec actes et comité de lecture. nationale.</note><note type="audience" n="3">National</note><note type="invited" n="0">No</note><note type="popular" n="0">No</note><note type="peer" n="1">Yes</note><note type="proceedings" n="1">Yes</note></notesStmt><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><surname>Besombes</surname></persName><idno type="halAuthorId">131342</idno><orgName ref="#struct-364475"></orgName><affiliation ref="#struct-2347"></affiliation></author><author role="aut"><persName><forename type="first">Jean-Yves</forename><surname>Marion</surname></persName><email>Jean-Yves.Marion@lora.fr</email><idno type="halAuthorId">130683</idno><orgName ref="#struct-364480"></orgName><affiliation ref="#struct-2347"></affiliation></author></analytic><monogr><idno type="localRef">A04-R-354 || besombes04e</idno><meeting><title>Conférence Francophone d'Apprentissage - CAp'2004</title><date type="start">2004</date><settlement>Montpellier, France</settlement></meeting><imprint><publisher>Presse universitaire de Grenoble</publisher><biblScope unit="pp">315-330</biblScope><date type="datePub">2004</date></imprint></monogr></biblStruct></sourceDesc><profileDesc><langUsage><language ident="fr">French</language></langUsage><textClass><keywords scheme="author"><term xml:lang="it">inférence grammaticale</term><term xml:lang="it">learning</term><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></keywords><classCode scheme="halDomain" n="info.info-oh">Computer Science [cs]/Other [cs.OH]</classCode><classCode scheme="halTypology" n="COMM">Conference papers</classCode></textClass><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></profileDesc></hal></record>Pour manipuler ce document sous Unix (Dilib)
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