Los puntos clave no están disponibles para este artículo en este momento.
In this paper we introduce a semantic role labeling system constructed on top of the full syntactic analysis of text. The labeling problem is modeled using a rich set of lexical, syntactic, and semantic attributes and learned using one-versus-all AdaBoost classifiers.
Surdeanu et al. (Sat,) studied this question.