Modeling and Learning Semantic Co-Compositionality through Prototype Projections and Neural Networks

Masashi Tsubaki, Kevin Duh, Masashi Shimbo, Yuji Matsumoto


Anthology ID:
D13-1014
Volume:
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing
Month:
October
Year:
2013
Address:
Seattle, Washington, USA
Venue:
EMNLP
SIG:
SIGDAT
Publisher:
Association for Computational Linguistics
Note:
Pages:
130–140
Language:
URL:
https://aclanthology.org/D13-1014
DOI:
Bibkey:
Cite (ACL):
Masashi Tsubaki, Kevin Duh, Masashi Shimbo, and Yuji Matsumoto. 2013. Modeling and Learning Semantic Co-Compositionality through Prototype Projections and Neural Networks. In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, pages 130–140, Seattle, Washington, USA. Association for Computational Linguistics.
Cite (Informal):
Modeling and Learning Semantic Co-Compositionality through Prototype Projections and Neural Networks (Tsubaki et al., EMNLP 2013)
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PDF:
https://aclanthology.org/D13-1014.pdf