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%0 Conference Proceedings
%T Capturing Semantic Similarity for Entity Linking with Convolutional Neural Networks
%A Francis-Landau, Matthew
%A Durrett, Greg
%A Klein, Dan
%Y Knight, Kevin
%Y Nenkova, Ani
%Y Rambow, Owen
%S Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
%D 2016
%8 June
%I Association for Computational Linguistics
%C San Diego, California
%F francis-landau-etal-2016-capturing
%R 10.18653/v1/N16-1150
%U https://aclanthology.org/N16-1150
%U https://doi.org/10.18653/v1/N16-1150
%P 1256-1261

Markdown (Informal)

[Capturing Semantic Similarity for Entity Linking with Convolutional Neural Networks](https://aclanthology.org/N16-1150) (Francis-Landau et al., NAACL 2016)

• Capturing Semantic Similarity for Entity Linking with Convolutional Neural Networks (Francis-Landau et al., NAACL 2016)

ACL

• Matthew Francis-Landau, Greg Durrett, and Dan Klein. 2016. Capturing Semantic Similarity for Entity Linking with Convolutional Neural Networks. In Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 1256–1261, San Diego, California. Association for Computational Linguistics.