Verb Classification using Distributional Similarity in Syntactic and Semantic Structures
Danilo Croce, Alessandro Moschitti, Roberto Basili, Martha Stone Palmer · Institutional Research Information System (Università degli Studi di Trento) · 2012
In this paper, we propose innovative repre-sentations for automatic classification of verbs according to mainstream linguistic theories, namely VerbNet and FrameNet. First, syntac-tic and semantic structures capturing essential lexical and syntactic properties of verbs are defined. Then, we design advanced similarity functions between such structures, i.e., seman-tic tree kernel functions, for exploiting distri-butional and grammatical information in Sup-port Vector Machines. The extensive empir-ical analysis on VerbNet class and frame de-tection shows that our models capture mean-ingful syntactic/semantic structures, which al-lows for improving the state-of-the-art. 1