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<h1 align="center">
<p>基于深度学习的开源中文知识图谱抽取框架</p>
</h1>
DeepKE 是一个支持<b>低资源、长篇章</b>的知识抽取工具，可以基于<b>PyTorch</b>实现<b>命名实体识别</b>、<b>关系抽取</b>和<b>属性抽取</b>功能。同时为初学者提供了详尽的[文档](https://zjunlp.github.io/DeepKE/)，[Google Colab教程](https://colab.research.google.com/drive/1vS8YJhJltzw3hpJczPt24O0Azcs3ZpRi?usp=sharing)和[在线演示](http://deepke.zjukg.cn/)。
DeepKE 是一个支持<b>低资源、长篇章</b>的知识抽取工具，可以基于<b>PyTorch</b>实现<b>命名实体识别</b>、<b>关系抽取</b>和<b>属性抽取</b>功能。<br>同时为初学者提供了详尽的[文档](https://zjunlp.github.io/DeepKE/)，[Google Colab教程](https://colab.research.google.com/drive/1vS8YJhJltzw3hpJczPt24O0Azcs3ZpRi?usp=sharing)和[在线演示](http://deepke.zjukg.cn/)。
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