Abstract
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.
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Nevěřilová, Z. (2010). Semantic Role Patterns and Verb Classes in Verb Valency Lexicon. In: Sojka, P., Horák, A., Kopeček, I., Pala, K. (eds) Text, Speech and Dialogue. TSD 2010. Lecture Notes in Computer Science(), vol 6231. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15760-8_20
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DOI: https://doi.org/10.1007/978-3-642-15760-8_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-15759-2
Online ISBN: 978-3-642-15760-8
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