Paper: Investigating the cross-linguistic potential of VerbNet-style classification

ACL ID C10-1119
Title Investigating the cross-linguistic potential of VerbNet-style classification
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2010
Authors

Verb classes which integrate a wide range of linguistic properties (Levin, 1993) have proved useful for natural language pro- cessing (NLP) applications. However, the real-world use of these classes has been limited because for most languages, no resources similar to VerbNet (Kipper- Schuler, 2005) are available. We apply a verb clustering approach developed for English to French – a language for which no such experiment has been conducted yet. Our investigation shows that not only the general methodology but also the best performing features are transferable be- tween the languages, making it possible to learn useful VerbNet style classes for French automatically without language- specific tuning.