Publicación:
Identifying patterns for unsupervised grammar induction

dc.contributor.authorSantamaría, Jesús
dc.contributor.authorAraujo Serna, M. Lourdes
dc.date.accessioned2024-05-21T13:03:25Z
dc.date.available2024-05-21T13:03:25Z
dc.date.issued2010-07-15
dc.description.abstractThis paper describes a new method for unsupervised grammar induction based on the automatic extraction of certain patterns in the texts. Our starting hypothesis is that there exist some classes of words that function as separators, marking the beginning or the end of new constituents. Among these separators we distinguish those which trigger new levels in the parse tree. If we are able to detect these separators we can follow a very simple procedure to identify the constituents of a sentence by taking the classes of words between separators. This paper is devoted to describe the process that we have followed to automatically identify the set of separators from a corpus only annotated with Part-of-Speech (POS) tags. The proposed approach has allowed us to improve the results of previous proposals when parsing sentences fromtheWall Street Journal corpus.es
dc.description.versionversión publicada
dc.identifier.urihttps://hdl.handle.net/20.500.14468/19978
dc.language.isoen
dc.relation.centerE.T.S. de Ingeniería Informática
dc.relation.departmentLenguajes y Sistemas Informáticos
dc.rightsAtribución-NoComercial-SinDerivadas 4.0 Internacional
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.titleIdentifying patterns for unsupervised grammar inductiones
dc.typeactas de congresoes
dc.typeconference proceedingsen
dspace.entity.typePublication
relation.isAuthorOfPublication77c4023e-4374-442a-9dfb-b9d4b609c31e
relation.isAuthorOfPublication.latestForDiscovery77c4023e-4374-442a-9dfb-b9d4b609c31e
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