Apprentissage des grammaires catégorielles à partir de structures
Identifieur interne : 006E37 ( Main/Exploration ); précédent : 006E36; suivant : 006E38Apprentissage 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.
Url:
Affiliations:
- France
- Grand Est, Lorraine (région)
- Nancy
- Institut national polytechnique de Lorraine, Université Nancy 2, Université de Lorraine
Links toward previous steps (curation, corpus...)
- to stream Hal, to step Corpus: 005681
- to stream Hal, to step Curation: 005681
- to stream Hal, to step Checkpoint: 004C48
- to stream Main, to step Merge: 007200
- to stream Main, to step Curation: 006E37
Le document en format XML
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type="direct"></relation></listRelation></org></tutelle></tutelles></hal:affiliation><country>France</country><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">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><affiliations><list><country><li>France</li></country><region><li>Grand Est</li><li>Lorraine (région)</li></region><settlement><li>Nancy</li></settlement><orgName><li>Institut national polytechnique de Lorraine</li><li>Université Nancy 2</li><li>Université de Lorraine</li></orgName></list><tree><country name="France"><region name="Grand Est"><name sortKey="Besombes, Jerome" sort="Besombes, Jerome" uniqKey="Besombes J" first="Jérôme" last="Besombes">Jérôme Besombes</name></region><name sortKey="Marion, Jean Yves" sort="Marion, Jean Yves" uniqKey="Marion J" first="Jean-Yves" last="Marion">Jean-Yves Marion</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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