PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Etiquetat automàtic de rols semàntics amb un sistema basat en memòria
Roser Morante
Digithum Volume 10, 2008. ISSN 1575-2275

Abstract

In this paper we present a semantic role labelling system. The main component of the system is a memory-based classifier. The system has been trained with the Cast3LB-CoNLL-SemRol. The features encode information from dependency syntax. The results (F1 0.86) are comparable with state-of-the-art results (F1 around 0.86) from systems that use information from constituent syntax.

EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Natural Language Processing
ID Code:5743
Deposited By:Roser Morante
Deposited On:08 March 2010