这是一个重新训练的3层RoBERTa-wwm-ext模型。

中文BERT模型具有整词遮蔽功能

为了进一步加快中文自然语言处理速度，我们提供了具有整词遮蔽功能的中文预训练BERT模型。

Pre-Training with Whole Word Masking for Chinese BERT Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Ziqing Yang, Shijin Wang, Guoping Hu

此存储库基于： https://github.com/google-research/bert 开发

您可能还对以下内容感兴趣，

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

HFL提供的更多资源： https://github.com/ymcui/HFL-Anthology

引用

如果您发现技术报告或资源对您的论文有用，请在论文中引用以下技术报告。

主要： 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",
}

次要： 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}
 }

作者:

Joint Laboratory of HIT and iFLYTEK Research (HFL)

数据集大小:

443.22 MB