TimeML Events Recognition and Classification: Learning CRF Models with Semantic Roles
Héctor Llorens, Estela Saquete, Borja Navarro-Colorado · 2010
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. 1