Paper: Probabilistic Frame-Semantic Parsing

ACL ID N10-1138
Title Probabilistic Frame-Semantic Parsing
Venue Human Language Technologies
Session Main Conference
Year 2010

This paper contributes a formalization of frame-semantic parsing as a structure predic- tion problem and describes an implemented parser that transforms an English sentence into a frame-semantic representation. It finds words that evoke FrameNet frames, selects frames for them, and locates the arguments for each frame. The system uses two feature- based, discriminative probabilistic (log-linear) models, one with latent variables to permit disambiguation of new predicate words. The parser is demonstrated to significantly outper- form previously published results.