Enriching Context Information for Entity Linking with Web Data-Reference-Cited by-同舟云学术

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Enriching Context Information for Entity Linking with Web Data

Published:2020-07 Issue:4 Volume:35 Page:724-738
ISSN:1000-9000
Container-title:Journal of Computer Science and Technology
language:en
Short-container-title:J. Comput. Sci. Technol.

Author:

Wang Yi-Ting,Shen Jie,Li Zhi-Xu,Yang Qiang,Liu An,Zhao Peng-Peng,Xu Jia-Jie,Zhao Lei,Yang Xun-Jie

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Computer Science Applications,Hardware and Architecture,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s11390-020-0280-1.pdf

Reference49 articles.

1. Yamada I, Shindo H, Takeda H, Takefuji Y. Joint learning of the embedding of words and entities for named entity disambiguation. In Proc. the 20th Conference on Computational Natural Language Learning, August 2016, pp.250-259.

2. Cai R, Wang H, Zhang J. Learning entity representation for named entity disambiguation. In Proc. the 14th China National Conference on Chinese Computational Linguistics and the 3rd International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, November 2015, pp.267-278.

3. Blanco R, Ottaviano G, Meij E. Fast and space-efficient entity linking in queries. In Proc. the 8th ACM International Conference on Web Search and Data Mining, February 2015, pp.179-188.

4. Phan M C, Sun A, Tay Y, Han J, Li C. NeuPL: Attention-based semantic matching and pairlinking for entity disambiguation. In Proc. the 2017 ACM Conference on Information and Knowledge Management, November 2017, pp.1667-676.

5. Basile P, Caputo A. Entity linking for tweets. Encyclopedia with Semantic Computing and Robotic Intelligence, 2017, 1(1): Article No. 1630020.

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