TimeML events recognition and classification: learning CRF models with semantic roles

Authors:
Hector Llorens;Estela Saquete;Borja Navarro-Colorado
Affiliations:
University of Alicante;University of Alicante;University of Alicante
Venue:
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Year:
2010

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Abstract

This paper analyzes the contribution of semantic roles to TimeML event recognition and classification. For that purpose, an approach using conditional random fields with a variety of morphosyntactic features plus semantic roles features is developed and evaluated. Our system achieves an F1 of 81.4% in recognition and a 64.2% in classification. We demonstrate that the application of semantic roles improves the performance of the presented system, especially for nominal events.