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.
Titolo: | Verb Classification using Distributional Similarity in Syntactic and Semantic Structures |
Autori: | D., Croce; Moschitti, Alessandro; R., Basili; M., Palmer |
Autori Unitn: | |
Titolo del volume contenente il saggio: | Association for Computer Linguistics |
Luogo di edizione: | Jeju Island, Korea |
Casa editrice: | The Association for Computer Linguistics |
Anno di pubblicazione: | 2012 |
Codice identificativo Scopus: | 2-s2.0-84878191112 |
ISBN: | 978-1-937284-24-4 |
Handle: | http://hdl.handle.net/11572/95273 |
Appare nelle tipologie: | 04.1 Saggio in atti di convegno (Paper in proceedings) |