这个模型专门设计用于法律领域。

中国ELECTRA

Google和斯坦福大学发布了一个名为ELECTRA的新的预训练模型，与BERT及其变种相比，该模型具有更小的模型大小和相对竞争力的性能。为了加快中国预训练模型的研究，哈工大和讯飞联合实验室（HFL）基于ELECTRA官方代码发布了中文ELECTRA模型。ELECTRA-small只有BERT及其变种的1/10参数，却能在几个自然语言处理任务中达到类似甚至更高的得分。

该项目基于ELECTRA的官方代码: https://github.com/google-research/electra

您可能也对以下内容感兴趣：

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

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

引用

如果您认为我们的资源或论文有用，请在您的论文中包含以下引用。

• 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",
}