57 lines
2.0 KiB
Markdown
57 lines
2.0 KiB
Markdown
---
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language:
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- zh
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tags:
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- bert
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license: "apache-2.0"
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---
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# Please use 'Bert' related functions to load this model!
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## Chinese BERT with Whole Word Masking
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For further accelerating Chinese natural language processing, we provide **Chinese pre-trained BERT with Whole Word Masking**.
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**[Pre-Training with Whole Word Masking for Chinese BERT](https://arxiv.org/abs/1906.08101)**
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Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Ziqing Yang, Shijin Wang, Guoping Hu
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This repository is developed based on：https://github.com/google-research/bert
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You may also interested in,
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- Chinese BERT series: https://github.com/ymcui/Chinese-BERT-wwm
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- Chinese MacBERT: https://github.com/ymcui/MacBERT
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- Chinese ELECTRA: https://github.com/ymcui/Chinese-ELECTRA
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- Chinese XLNet: https://github.com/ymcui/Chinese-XLNet
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- Knowledge Distillation Toolkit - TextBrewer: https://github.com/airaria/TextBrewer
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More resources by HFL: https://github.com/ymcui/HFL-Anthology
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## Citation
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If you find the technical report or resource is useful, please cite the following technical report in your paper.
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- Primary: https://arxiv.org/abs/2004.13922
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```
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@inproceedings{cui-etal-2020-revisiting,
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title = "Revisiting Pre-Trained Models for {C}hinese Natural Language Processing",
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author = "Cui, Yiming and
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Che, Wanxiang and
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Liu, Ting and
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Qin, Bing and
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Wang, Shijin and
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Hu, Guoping",
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booktitle = "Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings",
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month = nov,
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year = "2020",
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address = "Online",
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publisher = "Association for Computational Linguistics",
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url = "https://www.aclweb.org/anthology/2020.findings-emnlp.58",
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pages = "657--668",
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}
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```
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- Secondary: https://arxiv.org/abs/1906.08101
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```
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@article{chinese-bert-wwm,
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title={Pre-Training with Whole Word Masking for Chinese BERT},
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author={Cui, Yiming and Che, Wanxiang and Liu, Ting and Qin, Bing and Yang, Ziqing and Wang, Shijin and Hu, Guoping},
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journal={arXiv preprint arXiv:1906.08101},
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year={2019}
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}
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``` |