DeepKE is a knowledge extraction toolkit supporting standard supervised, low-resource and document-level scenarios for entity, relation and attribution extraction. It allows developers and researchers to customize datasets and models to extract information from unstructured texts.
DeepKE provides various functional modules and rganizes all components by consistent frameworks.
The training & evaluation codes and model implementation are separated for easy usage.
An off-the-shelf automatic hyperparameter tuning component is available.
Ningyu Zhang, Liankuan Tao, Xin Xu, Haiyang Yu, Hongbin Ye, Shuofei Qiao, Xin Xie, Xiang Chen, Zhoubo Li, Lei Li, Xiaozhuan Liang, YunzhiYao, Shumin Deng, Wen Zhang, Guozhou Zheng, Huajun Chen
Feiyu Xiong, Hui Chen, Qiang Chen
Zhenru Zhang, Chuanqi Tan, Fei Huang