dc.contributor.author
Alonso, Laura
dc.contributor.author
Castellón Masalles, Irene
dc.contributor.author
Padró, Lluís
dc.contributor.author
Gibert, Karina
dc.date.issued
2019-03-11T15:10:09Z
dc.date.issued
2019-03-11T15:10:09Z
dc.date.issued
2019-03-11T15:10:10Z
dc.identifier
https://hdl.handle.net/2445/130028
dc.description.abstract
In 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
application/pdf
dc.format
application/pdf
dc.publisher
Sociedad Española para el Procesamiento del Lenguaje Natural (SEPLN)
dc.relation
Reproducció del document publicat a: http://journal.sepln.org/sepln/ojs/ojs/index.php/pln/article/view/3257
dc.relation
Procesamiento del lenguaje natural , 2002, num. 29, p. 223-230
dc.rights
(c) Alonso, Laura et al., 2002
dc.rights
info:eu-repo/semantics/openAccess
dc.source
Articles publicats en revistes (Filologia Catalana i Lingüística General)
dc.subject
Tractament del llenguatge natural (Informàtica)
dc.subject
Marcadors del discurs
dc.subject
Natural language processing (Computer science)
dc.subject
Discourse markers
dc.title
Discurse Marker Characterisation Via Clustering: Extrapolation from Supervised to Unsupervised Corpora
dc.type
info:eu-repo/semantics/article
dc.type
info:eu-repo/semantics/publishedVersion
