IARG-AnCora: Anotación de los corpus AnCora con argumentos implícitos

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RECERCAT Home > Universitat de Barcelona > Filologia Catalana i Lingüística General > Documents de treball / Informes (Filologia Catalana i Lingüística General) > View document

To access the full text documents, please follow this link: http://hdl.handle.net/2445/128929

dc.contributor.author	Taulé Delor, Mariona
dc.contributor.author	Martí Antonin, M. Antònia
dc.contributor.author	Peris Morant, Aina
dc.contributor.author	Rodríguez, Horacio
dc.contributor.author	Moreno, Lidia
dc.contributor.author	Moreda, Paloma
dc.date	2019-02-26T13:54:35Z
dc.date	2019-02-26T13:54:35Z
dc.date	2012
dc.date	2019-02-26T13:54:36Z
dc.identifier.citation	1135-5948
dc.identifier.citation	618532
dc.identifier.uri	http://hdl.handle.net/2445/128929
dc.format	4 p.
dc.format	application/pdf
dc.language.iso	spa
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/4571/2737; http://sinai.ujaen.es/sepln/ojs/ojs-2.3.5/index.php/pln
dc.relation	Procesamiento del lenguaje natural , 2012, num. 49, p. 181-184
dc.rights	(c) Taulé Delor, Mariona et al., 2012
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Tractament del llenguatge natural (Informàtica)
dc.subject	Corpus (Lingüística)
dc.subject	Semàntica
dc.subject	Natural language processing (Computer science)
dc.subject	Corpora (Linguistics)
dc.subject	Semantics
dc.title	IARG-AnCora: Anotación de los corpus AnCora con argumentos implícitos
dc.type	info:eu-repo/semantics/article
dc.type	info:eu-repo/semantics/publishedVersion
dc.description.abstract	Iarg-AnCora aims to annotate the implicit arguments of deverbal nominalizations in AnCora corpus. This corpus will be the basis for systems of automatic semantic role labeling based on machine learning techniques. Semantic analyzers are essential components in the current applications of language technologies, in which it is important to obtain a deeper understanding of the text to make inferences on the highest level in order to obtain qualitative improvements in the results.

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