Discourse Segmentation for Spanish Based on Shallow Parsing
2010; Springer Science+Business Media; Linguagem: Inglês
10.1007/978-3-642-16761-4_2
ISSN1611-3349
AutoresIria da Cunha, Éric SanJuan, Juan‐Manuel Torres‐Moreno, Marina Lloberes, Irene Castellón Masalles,
Tópico(s)Speech and dialogue systems
ResumoNowadays discourse parsing is a very prominent research topic. However, there is not a discourse parser for Spanish texts. The first stage in order to develop this tool is discourse segmentation. In this work, we present DiSeg, the first discourse segmenter for Spanish, which uses the framework of Rhetorical Structure Theory and is based on lexical and syntactic rules. We describe the system and we evaluate its performance against a gold standard corpus, obtaining promising results.
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