Language Resources and Evaluation

, Volume 42, Issue 3, pp 265–291

Comparing and combining semantic verb classifications

Authors

  • Oliver Čulo
    • Institute of Applied LinguisticsUniversity of Mainz
  • Katrin Erk
    • Department of LinguisticsUniversity of Texas at Austin
    • Department of LinguisticsStanford University
  • Sabine Schulte im Walde
    • Institute for Natural Language ProcessingUniversity of Stuttgart
Article

DOI: 10.1007/s10579-008-9070-z

Cite this article as:
Čulo, O., Erk, K., Padó, S. et al. Lang Resources & Evaluation (2008) 42: 265. doi:10.1007/s10579-008-9070-z

Abstract

In this article, we address the task of comparing and combining different semantic verb classifications within one language. We present a methodology for the manual analysis of individual resources on the level of semantic features. The resulting representations can be aligned across resources, and allow a contrastive analysis of these resources. In a case study on the Manner of Motion domain across four German verb classifications, we find that some features are used in all resources, while others reflect individual emphases on specific meaning aspects. We also provide evidence that feature representations can ultimately provide the basis for linking verb classes themselves across resources, which allows us to combine their coverage and descriptive detail.

Keywords

Lexical semantics Verb classes Semantic resources Semantic features Resource linking

Copyright information

© Springer Science+Business Media B.V. 2008