The EuroWordNet Base Concepts and Top Ontology
The EuroWordNet Base Concepts and Top Ontology
Morphological tagging: data vs. dictionaries
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
A maximum-entropy-inspired parser
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
The role of semantic roles in disambiguating verb senses
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Non-projective dependency parsing using spanning tree algorithms
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Valency lexicon of czech verbs VALLEX: recent experiments with frame disambiguation
TSD'05 Proceedings of the 8th international conference on Text, Speech and Dialogue
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In this paper we compare automatic methods for disambiguation of verb senses, in particular we investigate Naïve Bayes classifier, decision trees, and a rule-based method Different types of features are proposed, including morphological, syntax-based, idiomatic, animacy, and WordNet-based features We evaluate the methods together with individual feature types on two essentially different Czech corpora, VALEVAL and the Prague Dependency Treebank The best performing methods and features are discussed.