Frame-Based Continuous Lexical Semantics through Exponential Family Tensor Factorization and Semantic Proto-Roles

Francis Ferraro, Adam Poliak, Ryan Cotterell, Benjamin Van Durme


Abstract
We study how different frame annotations complement one another when learning continuous lexical semantics. We learn the representations from a tensorized skip-gram model that consistently encodes syntactic-semantic content better, with multiple 10% gains over baselines.
Anthology ID:
S17-1011
Volume:
Proceedings of the 6th Joint Conference on Lexical and Computational Semantics (*SEM 2017)
Month:
August
Year:
2017
Address:
Vancouver, Canada
Venue:
*SEMEVAL
SIGs:
SIGLEX | SIGSEM
Publisher:
Association for Computational Linguistics
Note:
Pages:
97–103
Language:
URL:
https://www.aclweb.org/anthology/S17-1011
DOI:
10.18653/v1/S17-1011
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PDF:
http://aclanthology.lst.uni-saarland.de/S17-1011.pdf