A Transformer-Based Longer Entity Attention Model for Chinese Named Entity Recognition in Aerospace-Reference-Cited by-同舟云学术

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A Transformer-Based Longer Entity Attention Model for Chinese Named Entity Recognition in Aerospace

Published:2022-04 Issue: Volume: Page:
ISSN:
Container-title:2022 5th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)
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Author:

Gong Shuai¹,Xiong Xiong¹,Liu Yunfei¹,Li Shengyang¹,Liu Anqi¹

Affiliation:

1. Chinese Academy of Sciences,Key Laboratory of Space Utilization, Technology and Engineering Center for Space Utilization

Funder

Chinese Academy of Sciences

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9948218/9948219/09948384.pdf?arnumber=9948384

Reference31 articles.

1. Revisiting Pre-Trained Models for Chinese Natural Language Processing

2. Xlnet: Generalized autoregressive pretraining for language understanding;yang;Advances in neural information processing systems,2019

3. A Lexicon-Based Graph Neural Network for Chinese NER

4. Leverage Lexical Knowledge for Chinese Named Entity Recognition via Collaborative Graph Network

5. FLAT: Chinese NER Using Flat-Lattice Transformer

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Lexicon Enhanced Chinese Long Named Entity Recognition Using Word-Aware Attention;Proceedings of the 2023 6th International Conference on Machine Learning and Natural Language Processing;2023-12-27

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