Chinese Named Entity Recognition Fusing Lexical and Syntactic Information-Reference-Cited by-同舟云学术

Chinese Named Entity Recognition Fusing Lexical and Syntactic Information

Published:2022-03-04 Issue: Volume: Page:
ISSN:
Container-title:2022 the 6th International Conference on Innovation in Artificial Intelligence (ICIAI)
language:
Short-container-title:

Author:

Zhang Min¹,Li Bicheng¹,Liu Qilong¹,Wu Jing¹

Affiliation:

1. Colleage of Computer Science and Technology, Huaqiao University, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3529466.3529506

Reference30 articles.

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3. Zhou F Han X Liu Q Chinese Clinical Named Entity Recognition Based on Stroke-Level and Radical-Level Features[C]//SmartCom. 2020: 9-18. Zhou F Han X Liu Q Chinese Clinical Named Entity Recognition Based on Stroke-Level and Radical-Level Features[C]//SmartCom. 2020: 9-18.

4. MAF-CNER : A Chinese Named Entity Recognition Model Based on Multifeature Adaptive Fusion

5. Ma R , Peng M , Zhang Q , Simplify the Usage of Lexicon in Chinese NER[C]//Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. 2020: 5951-5960 . Ma R, Peng M, Zhang Q, Simplify the Usage of Lexicon in Chinese NER[C]//Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. 2020: 5951-5960.

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