Paper: Abstraction and Generalisation in Semantic Role Labels: PropBank VerbNet or both?

ACL ID P09-1033
Title Abstraction and Generalisation in Semantic Role Labels: PropBank VerbNet or both?
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2009
Authors

on and Generalisation in Semantic Role Labels: PropBank, VerbNet or both? Paola Merlo Linguistics Department University of Geneva 5 Rue de Candolle, 1204 Geneva Switzerland Paola.Merlo@unige.ch Lonneke Van Der Plas Linguistics Department University of Geneva 5 Rue de Candolle, 1204 Geneva Switzerland Lonneke.VanDerPlas@unige.ch Abstract Semantic role labels are the representa- tion of the grammatically relevant aspects of a sentence meaning. Capturing the nature and the number of semantic roles in a sentence is therefore fundamental to correctly describing the interface between grammar and meaning. In this paper, we compare two annotation schemes, Prop- Bank and VerbNet, in a task-independent, general way, analysing how well they fare