language:

• zh tags:
• bert license: "apache-2.0"

这是一个经过重新训练的4层RoBERTa-wwm-ext模型

全词掩码中文BERT

为加速中文自然语言处理研究，我们发布了采用全词掩码策略的中文预训练BERT模型。

中文全词掩码预训练BERT模型
崔一鸣，车万翔，刘挺，秦兵，杨子清，王士进，胡国平

本代码库基于谷歌官方BERT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

引用声明

如使用本技术报告或相关资源，请引用以下论文：

• 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}
 }