Update README.md

README.md

@@ -9,12 +9,9 @@ tags:
 license: apache-2.0
 ---
 ## Chinese DKPLM (Decomposable Knowledge-enhanced Pre-trained Language Model) for the medical domain
-For Chinese natural language processing in specific domains, we provide **Chinese DKPLM (Decomposable Knowledge-enhanced Pre-trained Language Model)** for the medical domain named **pai-dkplm-bert-zh**.
+For Chinese natural language processing in specific domains, we provide **Chinese DKPLM (Decomposable Knowledge-enhanced Pre-trained Language Model)** for the medical domain named **pai-dkplm-bert-zh**, from our AAAI 2021 paper named **DKPLM: Decomposable Knowledge-enhanced Pre-trained Language Model for Natural Language Understanding**.
 
-**[DKPLM: Decomposable Knowledge-enhanced Pre-trained Language Model for Natural Language Understanding](https://arxiv.org/abs/2112.01047)**  
-Taolin Zhang, Chengyu Wang, Nan Hu, Minghui Qiu, Chengguang Tang, Xiaofeng He, Jun Huang
-
-This repository is developed based on the EasyNLP framework: [https://github.com/alibaba/EasyNLP](https://github.com/alibaba/EasyNLP ) developed by the Alibaba PAI team.
+This repository is developed based on the EasyNLP framework: [https://github.com/alibaba/EasyNLP](https://github.com/alibaba/EasyNLP ) developed by the Alibaba PAI team. Please find the DKPLM tutorial here: [DKPLM Tutorial](https://github.com/alibaba/EasyNLP/tree/master/examples/dkplm_pretraining).
 
 ## Citation
 If you find the resource is useful, please cite the following papers in your work.
@@ -22,7 +19,8 @@ If you find the resource is useful, please cite the following papers in your wor
 - For the EasyNLP framework:
 ```
 @article{easynlp, 
-title = {EasyNLP: A Comprehensive and Easy-to-use Toolkit for Natural Language Processing},   			publisher = {arXiv}, 
+title = {EasyNLP: A Comprehensive and Easy-to-use Toolkit for Natural Language Processing},   		
+	publisher = {arXiv}, 
   author = {Wang, Chengyu and Qiu, Minghui and Zhang, Taolin and Liu, Tingting and Li, Lei and Wang, Jianing and Wang, Ming and Huang, Jun and Lin, Wei}, 
   url = {https://arxiv.org/abs/2205.00258}, 
   year = {2022} 
@@ -34,7 +32,7 @@ title = {EasyNLP: A Comprehensive and Easy-to-use Toolkit for Natural Language P
   title = {DKPLM: Decomposable Knowledge-enhanced Pre-trained Language Model for Natural Language Understanding}, 
   author = {Zhang, Taolin and Wang, Chengyu and Hu, Nan and Qiu, Minghui and Tang, Chengguang and He, Xiaofeng and Huang, Jun}, 
   url = {https://arxiv.org/abs/2112.01047},   			
-  publisher = {arXiv}, 
+  publisher = {AAAI}, 
   year = {2021} 
 } 
 ```