Semantic parsing based on FrameNet
Cosmin Adrian Bejan, Alessandro Moschitti, Paul Morǎrescu, Gabriel Nicolae, Sanda M. Harabagiu · 2004
This paper describes our method based on Support Vector Machines for automatically assigning semantic roles to constituents of English sentences. This method employs four different feature sets, one of which being first reported herein. The combination of features as well as the extended training data we considered have produced in the Senseval-3 experiments an F1-score of 92.5 % for the unrestricted case and of 76.3 % for the restricted case. 1