Author:
Cetoli Alberto,Bragaglia Stefano,O’Harney Andrew D.,Sloan Marc,Akbari Mohammad
Publisher
Springer International Publishing
Reference21 articles.
1. Artiles, J., Amigó, E., Gonzalo, J.: The role of named entities in web people search, vol. 2, p. 534 (2009).
https://doi.org/10.3115/1699571.1699582
,
http://portal.acm.org/citation.cfm?doid=1699571.1699582
2. Augenstein, I., Rocktäschel, T., Vlachos, A., Bontcheva, K.: Stance detection with bidirectional conditional encoding. In: Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, pp. 876–885. Association for Computational Linguistics, Austin, November 2016.
https://aclweb.org/anthology/D16-1084
3. Bahdanau, D., Cho, K., Bengio, Y.: Neural machine translation by jointly learning to align and translate.
arXiv:1409.0473
[cs, stat], September 2014
4. Blanco, R., Ottaviano, G., Meij, E.: Fast and space-efficient entity linking for queries. In: Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, WSDM 2015, pp. 179–188. ACM Press, Shanghai (2015)
https://doi.org/10.1145/2684822.2685317
,
http://dl.acm.org/citation.cfm?doid=2684822.2685317
5. Bunescu, R., Pasca, M.: Using encyclopedic knowledge for named entity disambiguation, p. 8 (2006)
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