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Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/130028
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dc.contributor.authorAlonso, Laura-
dc.contributor.authorCastellón Masalles, Irene-
dc.contributor.authorPadró, Lluís-
dc.contributor.authorGibert, Karina-
dc.date.accessioned2019-03-11T15:10:09Z-
dc.date.available2019-03-11T15:10:09Z-
dc.date.issued2002-
dc.identifier.issn1135-5948-
dc.identifier.urihttp://hdl.handle.net/2445/130028-
dc.description.abstractIn this paper we will show how clustering techniques provide empirical evidence for a characterisation of Discourse Markers (DMs) that helps in overcoming the lack of consensus and reduces the cost of building NLP resources based on DMs. By comparison of classifications from hand-tagged and unsupervised corpora we are capable of grounding a notion of DM prototypicality, from which reliable classifications can be obtained from fully unsupervised corpora.-
dc.format.extent8 p.-
dc.format.mimetypeapplication/pdf-
dc.language.isoeng-
dc.publisherSociedad Española para el Procesamiento del Lenguaje Natural (SEPLN)-
dc.relation.isformatofReproducció del document publicat a: http://journal.sepln.org/sepln/ojs/ojs/index.php/pln/article/view/3257-
dc.relation.ispartofProcesamiento del lenguaje natural , 2002, num. 29, p. 223-230-
dc.rights(c) Alonso, Laura et al., 2002-
dc.sourceArticles publicats en revistes (Filologia Catalana i Lingüística General)-
dc.subject.classificationTractament del llenguatge natural (Informàtica)-
dc.subject.classificationMarcadors del discurs-
dc.subject.otherNatural language processing (Computer science)-
dc.subject.otherDiscourse markers-
dc.titleDiscurse Marker Characterisation Via Clustering: Extrapolation from Supervised to Unsupervised Corpora-
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/publishedVersion-
dc.identifier.idgrec514597-
dc.date.updated2019-03-11T15:10:10Z-
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess-
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