ESN-NER

Author:

Wang Wenkai1,Chang Liang1,Bin Chenzhong1,Xuan Wen1,Chen Wei1,Li Long1

Affiliation:

1. Guilin University of Electronic Technology

Funder

Guangxi Innovation-Driven Development Project

Natural Science Foundation of Guangxi Province

the Guangxi Universities Young and Middle-aged Teacher Basic Ability Enhancement Project

National Natural Science Foundation of China

Publisher

ACM Press

Reference30 articles.

1. Miwa M and Bansal M (2016). End-to-end relation extraction using lstms on sequences and tree structures. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016, August 7--12, 2016, Berlin, Germany Volume 1: Long Papers.

2. Gupta N, Singh S and Roth D (2017). Entity linking via joint encoding of types, descriptions, and context. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, pp 2681--2690.

3. Fragkou P (2017). Applying named entity recognition and co-reference resolution for segmenting English texts. Progress in Artificial Intelligence 6(4), 325--346.

4. Liu L, Shang J, Ren X, Xu FF, Gui H, Peng J and Han J (2018). Empower sequence labeling with task-aware neural language model. In Thirty-Second AAAI Conference on Artificial Intelligence.

5. Chen W, Zhang Y and Isahara H (2006b). Chinese named entity recognition with conditional random fields. In Proceedings of the Fifth SIGHAN Workshop on Chinese Language Processing, pp 118--121.

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