Semantic Role Patterns and Verb Classes in Verb Valency Lexicon

NEVĚŘILOVÁ, Zuzana. Semantic Role Patterns and Verb Classes in Verb Valency Lexicon. In Proceedings of the 13th International Conference on Text, Speech and Dialog TSD 2010. Heidelberg: Springer, 2010, p. 150-156. ISBN 978-3-642-15759-2. Available from: https://dx.doi.org/10.1007/978-3-642-15760-8_20.

Basic information

• Original name: Semantic Role Patterns and Verb Classes in Verb Valency Lexicon
• Name in Czech: Vzory sémantických rolí a slovesné tříídy ve valenčním slovníku sloves
• Authors: NEVĚŘILOVÁ, Zuzana (203 Czech Republic, guarantor, belonging to the institution).
• Edition: Heidelberg, Proceedings of the 13th International Conference on Text, Speech and Dialog TSD 2010, p. 150-156, 7 pp. 2010.
• Publisher: Springer

Other information

• Original language: English
• Type of outcome: Proceedings paper
• Field of Study: 60200 6.2 Languages and Literature
• Country of publisher: Czech Republic
• Confidentiality degree: is not subject to a state or trade secret
• Publication form: printed version "print"
• Impact factor: Impact factor: 0.402 in 2005
• RIV identification code: RIV/00216224:14330/10:00067221
• Organization unit: Faculty of Informatics
• ISBN: 978-3-642-15759-2
• ISSN: 0302-9743
• Doi: http://dx.doi.org/10.1007/978-3-642-15760-8_20
• UT WoS: 000288619400020
• Keywords (in Czech): verb classes; valency lexicon; semantic roles
• Keywords in English: slovesné třídy; valenční slovník; sémantické role
• Tags: best2

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.

Links

• LC536, research and development project: Name: Centrum komputační lingvistiky

Investor: Ministry of Education, Youth and Sports of the CR, Centrum komputační lingvistiky