Paper: Semantic Frame Identification with Distributed Word Representations

ACL ID P14-1136
Title Semantic Frame Identification with Distributed Word Representations
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2014
Authors

We present a novel technique for semantic frame identification using distributed rep- resentations of predicates and their syntac- tic context; this technique leverages auto- matic syntactic parses and a generic set of word embeddings. Given labeled data annotated with frame-semantic parses, we learn a model that projects the set of word representations for the syntactic context around a predicate to a low dimensional representation. The latter is used for se- mantic frame identification; with a stan- dard argument identification method in- spired by prior work, we achieve state-of- the-art results on FrameNet-style frame- semantic analysis. Additionally, we report strong results on PropBank-style semantic role labeling in comparison to prior work.