Paper: Verb Classification using Distributional Similarity in Syntactic and Semantic Structures

ACL ID P12-1028
Title Verb Classification using Distributional Similarity in Syntactic and Semantic Structures
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2012
Authors

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.