Capturing Semantic Similarity for Entity Linking with Convolutional Neural Networks

Matthew Francis-Landau, Greg Durrett, Dan Klein


Anthology ID:
N16-1150
Volume:
Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Month:
June
Year:
2016
Address:
San Diego, California
Editors:
Kevin Knight, Ani Nenkova, Owen Rambow
Venue:
NAACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
1256–1261
Language:
URL:
https://aclanthology.org/N16-1150
DOI:
10.18653/v1/N16-1150
Bibkey:
Cite (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.
Cite (Informal):
Capturing Semantic Similarity for Entity Linking with Convolutional Neural Networks (Francis-Landau et al., NAACL 2016)
Copy Citation:
PDF:
https://aclanthology.org/N16-1150.pdf
Code
 matthewfl/nlp-entity-convnet