Título: EMOCause: an easy-adaptable approach to emotion cause contexts
Autores: Russo, Irene
Caselli, Tommaso
Rubino, Francesco
Boldrini, Ester
Martínez Barco, Patricio
Fecha: 2012-05-17
2012-05-17
2011
Publicador: RUA Docencia
Fuente:
Tipo: info:eu-repo/semantics/conferenceObject
Tema: Automatically identify
Linguistic contexts
Emotion cause
Lenguajes y Sistemas Informáticos
Descripción: In this paper we present a method to automatically identify linguistic contexts which contain possible causes of emotions or emotional states from Italian newspaper articles (La Repubblica Corpus). Our methodology is based on the interplay between relevant linguistic patterns and an incremental repository of common sense knowledge on emotional states and emotion eliciting situations. Our approach has been evaluated with respect to manually annotated data. The results obtained so far are satisfying and support the validity of the methodology proposed.
This work has been partially founded by the projects TEXTMESS 2.0 (TIN2009-13391-C04-01), Prometeo (PROMETEO/2009/199), the Generalitat valenciana (ACOMP/2011/001) and the EU FP7 project METANET (grant agreement n° 249119).
Idioma: Inglés

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