## 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**.

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.

- For the EasyNLP framework:
```
@article{easynlp, 
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} 
} 
```
- 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} 
} 
```
{"language": "zh", "license": "apache-2.0", "tags": ["bert"], "pipeline_tag": "fill-mask", "widget": [{"text": "\u611f\u5192\u9700\u8981\u5403[MASK]"}, {"text": "\u4eba\u7c7b\u7684[MASK]\u6e29\u662f37\u5ea6"}]}
transformers pytorch bert fill-mask zh arxiv:2205.00258 arxiv:2112.01047 license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #fill-mask #zh #arxiv-2205.00258 #arxiv-2112.01047 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 

## 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.

This repository is developed based on the EasyNLP framework: URL developed by the Alibaba PAI team. Please find the DKPLM tutorial here: DKPLM Tutorial.

If you find the resource is useful, please cite the following papers in your work.

- For the EasyNLP framework:

- For DKPLM:

## 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.

This repository is developed based on the EasyNLP framework: URL developed by the Alibaba PAI team. Please find the DKPLM tutorial here: DKPLM Tutorial.

If you find the resource is useful, please cite the following papers in your work.

- For the EasyNLP framework:

- For DKPLM:
TAGS
#transformers #pytorch #bert #fill-mask #zh #arxiv-2205.00258 #arxiv-2112.01047 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
 ## 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.

This repository is developed based on the EasyNLP framework: URL developed by the Alibaba PAI team. Please find the DKPLM tutorial here: DKPLM Tutorial.

If you find the resource is useful, please cite the following papers in your work.

- For the EasyNLP framework:

- For DKPLM:
passage: TAGS
#transformers #pytorch #bert #fill-mask #zh #arxiv-2205.00258 #arxiv-2112.01047 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
## 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.

This repository is developed based on the EasyNLP framework: URL developed by the Alibaba PAI team. Please find the DKPLM tutorial here: DKPLM Tutorial.

If you find the resource is useful, please cite the following papers in your work.

- For the EasyNLP framework:

- For DKPLM: