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pro vyhledávání: '"Boulenger, Alexandre"'
We propose an efficient modeling framework for cross-lingual named entity recognition in semi-structured text data. Our approach relies on both knowledge distillation and consistency training. The modeling framework leverages knowledge from a large l
Externí odkaz:
http://arxiv.org/abs/2307.08714
Autor:
Boulenger, Alexandre1, Luo, Yanwen2, Zhang, Chenhui1, Zhao, Chenyang2, Gao, Yuanjing2, Xiao, Mengsu2, Zhu, Qingli2 zqlpumch@126.com, Tang, Jie1 jery.tang@gmail.com
Publikováno v:
Medical & Biological Engineering & Computing. Feb2023, Vol. 61 Issue 2, p567-578. 12p. 2 Color Photographs, 1 Diagram, 3 Charts, 2 Graphs.