Verbnet: a broad-coverage, comprehensive verb lexicon
Verbnet: a broad-coverage, comprehensive verb lexicon
Effective parsing using competing CFG rules
TSD'11 Proceedings of the 14th international conference on Text, speech and dialogue
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For Czech language there is large valency frame lexicon: VerbaLex. It contains verbs, slots related to the verbs and information about semantic roles each slot plays. This paper discusses observations made on VerbaLex frames related to verb classification. It shows that for particular classes of verbs (e.g. verbs describing weather) some semantic role patterns are typical. It also tries to reveal these patterns in not so obvious cases. Currently, verb frames in VerbaLex are not interconnected. This paper outlines the way we can do such connections. We expect that verb frames of the same class or with the same semantic role patterns are semantically close and therefore propose similar types of interconnection. We expect to create relatively small set of inference rules that influence a large number of verb frames.