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DeepKE
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<a href="https://zenodo.org/badge/latestdoi/155220641"><img src="https://zenodo.org/badge/155220641.svg" alt="DOI"></a>
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<b>简体中文</b> |
<a href="https://github.com/tlk1997/deepke/blob/master/README_ENGLISH.md">English</a>
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<p>基于深度学习的开源中文知识图谱抽取框架</p>

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<!-- <img src="https://raw.githubusercontent.com/huggingface/transformers/master/docs/source/imgs/transformers_logo_name.png" width="400"/> -->
DeepKE
<br>
<p>
<p align="center">
<a href="https://circleci.com/gh/huggingface/transformers">
<img alt="Build" src="https://img.shields.io/circleci/build/github/huggingface/transformers/master">
</a>
<a href="https://github.com/huggingface/transformers/blob/master/LICENSE">
<img alt="GitHub" src="https://img.shields.io/github/license/huggingface/transformers.svg?color=blue">
</a>
<a href="https://huggingface.co/transformers/index.html">
<img alt="Documentation" src="https://img.shields.io/website/http/huggingface.co/transformers/index.html.svg?down_color=red&down_message=offline&up_message=online">
</a>
<a href="https://github.com/huggingface/transformers/releases">
<img alt="GitHub release" src="https://img.shields.io/github/release/huggingface/transformers.svg">
</a>
<a href="https://github.com/huggingface/transformers/blob/master/CODE_OF_CONDUCT.md">
<img alt="Contributor Covenant" src="https://img.shields.io/badge/Contributor%20Covenant-v2.0%20adopted-ff69b4.svg">
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<a href="https://zenodo.org/badge/latestdoi/155220641"><img src="https://zenodo.org/badge/155220641.svg" alt="DOI"></a>
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<p>
<a href="https://github.com/tlk1997/deepke/blob/master/README.md">简体中文</a> |
<b>English</b>
<p>
</h4>
<h3 align="center">
<p>Open source Chinese knowledge atlas extraction framework based on deep learning</p>
</h3>
<h3 align="center">
<a href="https://hf.co/course"><img src="https://raw.githubusercontent.com/huggingface/transformers/master/docs/source/imgs/course_banner.png"></a>
</h3>
DeepKE offers some models for knowledge extrations
## Online Demo
demo 's urls
1.NER
2.RE
1.REGULAR
2.FEW-SHOT
3.DOCUMENT
3.AE
## Quick Tour
## Installtion
pip installtion
```
pip install deepke
```
## Model architectures
Deepke contains these models:
1.NER
2.RE
**[REGULAR](https://github.com/tlk1997/deepke/blob/master/example/re/regular/re_regular.md)**
FEW-SHOT
DOCUMENT
3.AE
## Citation