| language: | |
| - zh | |
| license: "apache-2.0" | |
| ## Chinese Pre-Trained XLNet | |
| This project provides a XLNet pre-training model for Chinese, which aims to enrich Chinese natural language processing resources and provide a variety of Chinese pre-training model selection. | |
| We welcome all experts and scholars to download and use this model. | |
| This project is based on CMU/Google official XLNet: https://github.com/zihangdai/xlnet | |
| You may also interested in, | |
| - Chinese BERT series: https://github.com/ymcui/Chinese-BERT-wwm | |
| - Chinese ELECTRA: https://github.com/ymcui/Chinese-ELECTRA | |
| - Chinese XLNet: https://github.com/ymcui/Chinese-XLNet | |
| - Knowledge Distillation Toolkit - TextBrewer: https://github.com/airaria/TextBrewer | |
| More resources by HFL: https://github.com/ymcui/HFL-Anthology | |
| ## Citation | |
| If you find our resource or paper is useful, please consider including the following citation in your paper. | |
| - 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", | |
| } | |
| ``` |