未验证 提交 15eddb02 编写于 作者: O oyjxer 提交者: GitHub

add ernie-m in readme (#772)

Co-authored-by: Npangchao04 <pangchao04@baidu.com>
上级 a2b70aa6
......@@ -12,6 +12,9 @@ ERNIE 2.0 builds a strong basic for nearly every NLP tasks: Text Classification,
# News
- Dec.03.2021:
- [`ERNIE-M`](https://github.com/PaddlePaddle/ERNIE/tree/repro/ernie-m) models are **avaliable** now!
- May.20.2021:
- [`ERNIE-Doc`](https://github.com/PaddlePaddle/ERNIE/tree/repro/ernie-doc), [`ERNIE-Gram`](./ernie-gram/), [`ERNIE-ViL`](https://github.com/PaddlePaddle/ERNIE/tree/repro/ernie-vil) models are **avaliable** now!
- `ERNIE-UNIMO` has been released in [here](https://github.com/PaddlePaddle/ERNIE/tree/repro/ernie-unimo).
......@@ -349,6 +352,17 @@ For details about distillation, see [here](./demo/distill/README.md)
}
```
### ERNIE-M
```
@article{ouyang2020ernie,
title={Ernie-m: Enhanced multilingual representation by aligning cross-lingual semantics with monolingual corpora},
author={Ouyang, Xuan and Wang, Shuohuan and Pang, Chao and Sun, Yu and Tian, Hao and Wu, Hua and Wang, Haifeng},
journal={arXiv preprint arXiv:2012.15674},
year={2020}
}
```
For full reproduction of paper results, please checkout to `repro` branch of this repo.
### Communication
......
......@@ -10,6 +10,9 @@ ERNIE是百度开创性提出的基于知识增强的持续学习语义理解框
# 新闻
- 2021.12.3:
- 多语言预训练模型`ERNIE-M` [正式开源](https://github.com/PaddlePaddle/ERNIE/tree/repro/ernie-m)
- 2021.5.20:
- ERNIE 最新开源四大预训练模型:
- 多粒度语言知识模型`ERNIE-Gram` [正式开源](./ernie-gram/)
......@@ -354,6 +357,17 @@ ids = np.expand_dims(ids, -1) # ids.shape==[BATCH, SEQLEN, 1]
}
```
### ERNIE-M
```
@article{ouyang2020ernie,
title={Ernie-m: Enhanced multilingual representation by aligning cross-lingual semantics with monolingual corpora},
author={Ouyang, Xuan and Wang, Shuohuan and Pang, Chao and Sun, Yu and Tian, Hao and Wu, Hua and Wang, Haifeng},
journal={arXiv preprint arXiv:2012.15674},
year={2020}
}
```
若希望复现 paper 中的所有实验,请切换至本repo的`repro`分支。
### 讨论组
......
```bash
_____ ____ _ _ ___ _____ __ __
| ____| _ \| \ | |_ _| ____| | \ / |
| _| | |_) | \| || || _| _____| |\\ //| |
| |___| _ <| |\ || || |__|_____| | \\_// | |
|_____|_| \_\_| \_|___|_____| |_| \_/ |_|
```
The `ERNIE-M` (including all our pre-trained models) has been released at [here](https://github.com/PaddlePaddle/ERNIE/tree/repro/ernie-m).
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