Verb classification using distributional similarity in syntactic and semantic structures

Danilo Croce, Alessandro Moschitti, Roberto Basili, Martha Palmer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

15 Citations (Scopus)

Abstract

In this paper, we propose innovative representations for automatic classification of verbs according to mainstream linguistic theories, namely VerbNet and FrameNet. First, syntactic and semantic structures capturing essential lexical and syntactic properties of verbs are defined. Then, we design advanced similarity functions between such structures, i.e., semantic tree kernel functions, for exploiting distributional and grammatical information in Support Vector Machines. The extensive empirical analysis on VerbNet class and frame detection shows that our models capture meaningful syntactic/semantic structures, which allows for improving the state-of-the-art.

Original languageEnglish
Title of host publication50th Annual Meeting of the Association for Computational Linguistics, ACL 2012 - Proceedings of the Conference
Pages263-272
Number of pages10
Publication statusPublished - 1 Dec 2012
Event50th Annual Meeting of the Association for Computational Linguistics, ACL 2012 - Jeju Island, Korea, Republic of
Duration: 8 Jul 201214 Jul 2012

Publication series

Name50th Annual Meeting of the Association for Computational Linguistics, ACL 2012 - Proceedings of the Conference
Volume1

Other

Other50th Annual Meeting of the Association for Computational Linguistics, ACL 2012
CountryKorea, Republic of
CityJeju Island
Period8/7/1214/7/12

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ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Software

Cite this

Croce, D., Moschitti, A., Basili, R., & Palmer, M. (2012). Verb classification using distributional similarity in syntactic and semantic structures. In 50th Annual Meeting of the Association for Computational Linguistics, ACL 2012 - Proceedings of the Conference (pp. 263-272). (50th Annual Meeting of the Association for Computational Linguistics, ACL 2012 - Proceedings of the Conference; Vol. 1).