Semantic Frame Identification with Distributed Word Representations
Venue
Proceedings of the 52th Annual Meeting of the Association for Computational Linguistics (2014)
Publication Year
2014
Authors
Karl Moritz Hermann, Dipanjan Das, Jason Weston, Kuzman Ganchev
BibTeX
Abstract
We present a novel technique for semantic frame identification using distributed
representations of predicates and their syntactic context; this technique leverages
automatic 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 semantic frame identification;
with a standard argument identification method inspired 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.
