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",
}