A combination of classifiers for the pronominal anaphora resolution in Basque

Authors:
Ana Zelaia Jauregi;Basilio Sierra;Olatz Arregi Uriarte;Klara Ceberio;Arantza Díaz De Illarraza;Iakes Goenaga
Affiliations:
University of the Basque Country;University of the Basque Country;University of the Basque Country;University of the Basque Country;University of the Basque Country;University of the Basque Country
Venue:
CIARP'10 Proceedings of the 15th Iberoamerican congress conference on Progress in pattern recognition, image analysis, computer vision, and applications
Year:
2010

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Abstract

In this paper we present a machine learning approach to resolve the pronominal anaphora in Basque language. We consider different classifiers in order to find the system that fits best to the characteristics of the language under examination. We apply the combination of classifiers which improves results obtained with single classifiers. The main contribution of the paper is the use of bagging having as base classifier a non-soft one for the anaphora resolution in Basque.