Paper: Inducing German Semantic Verb Classes From Purely Syntactic Subcategorisation Information

ACL ID P02-1029
Title Inducing German Semantic Verb Classes From Purely Syntactic Subcategorisation Information
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2002
Authors

The paper describes the application of k- Means, a standard clustering technique, to the task of inducing semantic classes for German verbs. Using probability distributions over verb subcategorisation frames, we obtained an intuitively plausi- ble clustering of 57 verbs into 14 classes. The automatic clustering was evaluated against independently motivated, hand- constructed semantic verb classes. A series of post-hoc cluster analyses ex- plored the influence of specific frames and frame groups on the coherence of the verb classes, and supported the tight connec- tion between the syntactic behaviour of the verbs and their lexical meaning com- ponents.