Temporal ontology and temporal reference
Computational Linguistics - Special issue on tense and aspect
Class-Based Construction of a Verb Lexicon
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Automatic verb classification based on statistical distributions of argument structure
Computational Linguistics
Using semantic preferences to identify verbal participation in role switching alternations
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Investigating regular sense extensions based on intersective Levin classes
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Clustering verbs semantically according to their alternation behaviour
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 2
Integrating compositional semantics into a verb lexicon
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 2
Probabilistic models of verb-argument structure
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
The Penn Treebank: annotating predicate argument structure
HLT '94 Proceedings of the workshop on Human Language Technology
Building frame-based corpus on the basis of ontological domain knowledge
BioNLP '11 Proceedings of BioNLP 2011 Workshop
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This paper presents a methodology for using the argument structure of sentences, as encoded by the PropBank project, to develop clusters of verbs with similar meaning and usage. These clusters can be favorably compared to the classes developed by the VerbNet project. The most interesting cases are those where the clustering methodology suggests new members for VerbNet classes which will then be associated with the semantic predicates for that class.