CLGP: Multi-Feature Embedding based Cross-Attention for Chinese NER
Author:
Affiliation:
1. Renmin University of China,School of Information,Beijing,China
2. Zhongyuan Bank,Software Development Center,Zhengzhou,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10242354/10242617/10242720.pdf?arnumber=10242720
Reference23 articles.
1. Distributed representations of words and phrases and their compositionality;mikolov;Advances in Neural Information Processing Systems 26,2013
2. Glyce: glyph-vectors for chinese character representations;meng;Proceedings of the 33rd International Conference on Neural Information Processing Systems,2019
3. Chinese NER Using Lattice LSTM
4. Radical Embedding: Delving Deeper to Chinese Radicals
5. Using chinese glyphs for named entity recognition;sehanobish;Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence,2020
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