Paper: Probabilistic Models Of Verb-Argument Structure

ACL ID C02-1132
Title Probabilistic Models Of Verb-Argument Structure
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2002
Authors

We evaluate probabilistic models of verb argument structure trained on a corpus of verbs and their syn- tactic arguments. Models designed to represent pat- terns of verb alternation behavior are compared with generic clustering models in terms of the perplexity assigned to held-out test data. While the special- ized models of alternation do not perform as well, closer examination reveals alternation behavior rep- resented implicitly in the generic models.