add ernie-vil develop (#572)

* add ernie-vil

* Update README.md

README.en.md

@@ -11,6 +11,11 @@ ERNIE 2.0 builds a strong basic for nearly every NLP tasks: Text Classification,
 [\[more information\]](https://wenxin.baidu.com/)
 
 # News
+- Sept.24.2020: 
+    - [`ERNIE-ViL`](https://github.com/PaddlePaddle/ERNIE/tree/repro/ernie-vil) is **avaliable** now!
+        - A **knowledge-enhanced** joint representations for vision-language tasks.
+            - Constructing three **Scene Graph Prediction** tasks utilizing structured knowledge.
+	    - The state-of-the-art performance on 5 downstream tasks, 1st place on [VCR leaderboad](https://visualcommonsense.com/leaderboard/).
 
 - May.20.2020:
 
@@ -206,6 +211,7 @@ many other demo python scripts:
 | ChnSentiCorp | 24              | 5e-5(base)/1e-5(large)   |
 | LCQMC        | 32              | 2e-5(base)/5e-6(large)   |
 | NLPCC2016-DBQA| 64             | 2e-5(base)/1e-5(large)   |
+| VCR           | 64             | 2e-5(base)/2e-5(large)   |
 
 # Pretraining with ERNIE 1.0
 
@@ -280,6 +286,17 @@ For details about distillation, see [here](./distill/README.md)
 }
 ```
 
+### ERNIE-ViL
+```
+@article{yu2020ernie,
+  title={ERNIE-ViL: Knowledge Enhanced Vision-Language Representations Through Scene Graph},
+  author={Yu, Fei and Tang, Jiji and Yin, Weichong and Sun, Yu and Tian, Hao and Wu, Hua and Wang, Haifeng},
+  journal={arXiv preprint arXiv:2006.16934},
+  year={2020}
+}
+
+```
+
 For full reproduction of paper results, please checkout to `repro` branch of this repo.
 
 ### Communication

README.zh.md

@@ -10,6 +10,13 @@ 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
 
+- 2020.9.24: 
+   - `ERNIE-ViL` 模型正式开源! ([点击进入](https://github.com/PaddlePaddle/ERNIE/tree/repro/ernie-vil))
+       - 面向视觉-语言知识增强的预训练框架，首次在视觉-语言预训练引入结构化的知识。
+           - 利用场景图中的知识，构建了物体、属性和关系预测任务，精细刻画模态间细粒度语义对齐。
+       - 五项视觉-语言下游任务取得最好效果，[视觉常识推理榜单](https://visualcommonsense.com/)取得第一。
+       
+        
 - 2020.5.20:     
     - 欢迎试用`动态图`实现的 ERNIE:
         - 基于[PaddlePaddle v1.8](https://github.com/PaddlePaddle/Paddle/tree/release/1.8)使用 ERNIE 进行 Pretrain 和 Finetune.
@@ -206,6 +213,7 @@ python3 -m paddle.distributed.launch \
 | ChnSentiCorp | 24              | 5e-5(base)/1e-5(large)   |
 | LCQMC        | 32              | 2e-5(base)/5e-6(large)   |
 | NLPCC2016-DBQA| 64             | 2e-5(base)/1e-5(large)   |
+| VCR           | 64             | 2e-5(base)/2e-5(large)   |
 
 # 预训练 (ERNIE 1.0)
 
@@ -281,6 +289,18 @@ ids = np.expand_dims(ids, -1) # ids.shape==[BATCH, SEQLEN, 1]
 }
 ```
 
+### ERNIE-ViL
+
+```
+@article{yu2020ernie,
+  title={ERNIE-ViL: Knowledge Enhanced Vision-Language Representations Through Scene Graph},
+  author={Yu, Fei and Tang, Jiji and Yin, Weichong and Sun, Yu and Tian, Hao and Wu, Hua and Wang, Haifeng},
+  journal={arXiv preprint arXiv:2006.16934},
+  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

ernie-vil/README.md

+![ernie_vil](.meta/ernie-vil.png) 
+
+The `ERNIE-ViL` (including our pre-trained models and VCR task-pretrained models) has been released at [here](https://github.com/PaddlePaddle/ERNIE/tree/repro/ernie-vil).