Abstract / Description of output
This paper contributes a formalization of
frame-semantic parsing as a structure prediction
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 featurebased,
discriminative probabilistic (log-linear)
models, one with latent variables to permit
disambiguation of new predicate words. The
parser is demonstrated to significantly outperform
previously published results.
Original language | English |
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Title of host publication | Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, June 2-4, 2010, Los Angeles, California, USA |
Publisher | Association for Computational Linguistics |
Pages | 948-956 |
Number of pages | 9 |
Publication status | Published - 2010 |