语言:

• 中文 标签:
• bert 许可证: "apache-2.0"

请使用'Bert'相关函数加载此模型！

中文全词掩码BERT

为了进一步加速中文自然语言处理的发展，我们提供了采用全词掩码技术的中文预训练BERT模型。

中文全词掩码BERT的预训练研究
崔一鸣、车万翔、刘挺、秦兵、杨子清、王士进、胡国平

本代码库基于以下项目开发：https://github.com/google-research/bert

您可能还对以下项目感兴趣：

• 中文BERT系列：https://github.com/ymcui/Chinese-BERT-wwm
• 中文MacBERT：https://github.com/ymcui/MacBERT
• 中文ELECTRA：https://github.com/ymcui/Chinese-ELECTRA
• 中文XLNet：https://github.com/ymcui/Chinese-XLNet
• 知识蒸馏工具包TextBrewer：https://github.com/airaria/TextBrewer

更多哈工大讯飞联合实验室资源：https://github.com/ymcui/HFL-Anthology

引用

如果您认为本技术报告或资源对您的研究有所帮助，请在论文中引用以下技术报告。

• 主引用：https://arxiv.org/abs/2004.13922

@inproceedings{cui-etal-2020-revisiting,
    title = "Revisiting Pre-Trained Models for {C}hinese Natural Language Processing",
    author = "Cui, Yiming  and
      Che, Wanxiang  and
      Liu, Ting  and
      Qin, Bing  and
      Wang, Shijin  and
      Hu, Guoping",
    booktitle = "Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings",
    month = nov,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2020.findings-emnlp.58",
    pages = "657--668",
}

• 次引用：https://arxiv.org/abs/1906.08101

@article{chinese-bert-wwm,
  title={Pre-Training with Whole Word Masking for Chinese BERT},
  author={Cui, Yiming and Che, Wanxiang and Liu, Ting and Qin, Bing and Yang, Ziqing and Wang, Shijin and Hu, Guoping},
  journal={arXiv preprint arXiv:1906.08101},
  year={2019}
 }