SUMMARY : Session O29-E Evaluation Semantics and Senses

 

Title Human Verb Associations as the Basis for Gold Standard Verb Classes: Validation against GermaNet and FrameNet
Authors S. Schulte
Abstract We describe a gold standard for semantic verb classes which is based on human associations to verbs. The associations were collected in a web experiment and then applied as verb features in a hierarchical cluster analysis. We claim that the resulting classes represent a theory-independent gold standard classification which covers a variety of semantic verb relations, and whose features can be used to guide the feature selection in automatic processes. To evaluate our claims, the association-based classification is validated against two standard approaches to semantic verb classes, GermaNet and FrameNet.
Keywords lexical resources, semantic verb classes, human associations, evaluation
Full paper Human Verb Associations as the Basis for Gold Standard Verb Classes: Validation against GermaNet and FrameNet