Introduction¶
OpenUE allows users ranging from beginner python coders to experienced machine learning engineers to leverage lots of NLP extraction tasks in one easy-to-use python package.
Key Features
- Full Guides and API Documentation
- Unified API for NLP Tasks with SOTA Pretrained Models (Adaptable with BERT, XLNet, etc.)
- Entity and Realation Extraction
- Intent and Slot Filling
- Event Extraction
- More in development
- Training and Inference Interface
- Rapid NLP Model Deployment
- Dockerizing OpenUE with GPUs
- Easily build and run OpenUE containers leveraging NVIDIA GPUs with Docker
How to Cite¶
If you use or extend our work, please cite the following paper:
@inproceedings{zhang-2020-opennue,
title = "{O}pe{UE}: An Open Toolkit of Universal Extraction from Text",
author = "Ningyu Zhang, Shumin Deng, Zhen Bi, Haiyang Yu, Jiacheng Yang, Mosha Chen, Fei Huang, Wei Zhang, Huajun Chen",
year = "2020",
}