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%0 Conference Proceedings
%T Modeling and Learning Semantic Co-Compositionality through Prototype Projections and Neural Networks
%A Tsubaki, Masashi
%A Duh, Kevin
%A Shimbo, Masashi
%A Matsumoto, Yuji
%Y Yarowsky, David
%Y Baldwin, Timothy
%Y Korhonen, Anna
%Y Livescu, Karen
%Y Bethard, Steven
%S Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing
%D 2013
%8 October
%I Association for Computational Linguistics
%C Seattle, Washington, USA
%F tsubaki-etal-2013-modeling
%U https://aclanthology.org/D13-1014
%P 130-140

Markdown (Informal)

[Modeling and Learning Semantic Co-Compositionality through Prototype Projections and Neural Networks](https://aclanthology.org/D13-1014) (Tsubaki et al., EMNLP 2013)

• Modeling and Learning Semantic Co-Compositionality through Prototype Projections and Neural Networks (Tsubaki et al., EMNLP 2013)

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.