Update README.md

README.md

@@ -5,10 +5,13 @@ tags:
 - bert
 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**, from our AAAI 2021 paper named **DKPLM: Decomposable Knowledge-enhanced Pre-trained Language Model for Natural Language Understanding**.
+## Chinese Kowledge-enhanced BERT (CKBERT) 
 
-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).
+Knowledge-enhanced pre-trained language models (KEPLMs) improve context-aware representations via learning from structured relations in knowledge graphs, and/or linguistic knowledge from syntactic or dependency analysis. Unlike English, there is a lack of high-performing open-source Chinese KEPLMs in the natural language processing (NLP) community to support various language understanding applications.
+
+For Chinese natural language processing, we provide three **Chinese Kowledge-enhanced BERT (CKBERT)** models named **pai-ckbert-bert-zh**, **pai-ckbert-large-zh** and **pai-ckbert-huge-zh**, from our **EMNLP 2022** paper named **Revisiting and Advancing Chinese Natural Language Understanding with Accelerated Heterogeneous Knowledge Pre-training**.
+
+This repository is developed based on the EasyNLP framework: [https://github.com/alibaba/EasyNLP](https://github.com/alibaba/EasyNLP ) 
 
 ## Citation
 If you find the resource is useful, please cite the following papers in your work.
@@ -25,11 +28,10 @@ title = {EasyNLP: A Comprehensive and Easy-to-use Toolkit for Natural Language P
 ```
 - For DKPLM:
 ```
-@article{dkplm, 
-  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 = {AAAI}, 
-  year = {2021} 
+@article{ckbert, 
+  title = {Revisiting and Advancing Chinese Natural Language Understanding with Accelerated Heterogeneous Knowledge Pre-training}, 
+  author = {Zhang, Taolin and Dong, Junwei and Wang, Jianing and Wang, Chengyu and Wang, An and Liu, Yinghui and Huang, Jun and Li, Yong and He, Xiaofeng}, 	
+  publisher = {EMNLP}, 
+  year = {2022} 
 } 
 ```