Paper: Automatic Verb Classification Using Distributions Of Grammatical Features

ACL ID E99-1007
Title Automatic Verb Classification Using Distributions Of Grammatical Features
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 1999
Authors

We apply machine learning techniques to classify automatically a set of verbs into lexical semantic classes, based on distributional approximations of diathe- ses, extracted from a very large anno- tated corpus. Distributions of four gram- matical features are sufficient to reduce error rate by 50% over chance. We con- clude that corpus data is a usable repos- itory of verb class information, and that corpus-driven extraction of grammatical features is a promising methodology for automatic lexical acquisition.