81 lines
2.2 KiB
Markdown
81 lines
2.2 KiB
Markdown
|
<p align="center">
|
||
|
|
<br>
|
||
|
|
<!-- <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">
|
||
|
|
</a>
|
||
|
|
<a href="https://zenodo.org/badge/latestdoi/155220641"><img src="https://zenodo.org/badge/155220641.svg" alt="DOI"></a>
|
||
|
|
</p>
|
||
|
|
<h4 align="center">
|
||
|
|
<p>
|
||
|
|
<b href="https://github.com/tlk1997/deepke/blob/master/README.md">简体中文</b> |
|
||
|
|
<a>English</a> |
|
||
|
|
<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
|