Awesome
CRL
Implementation of the research paper Consistent Representation Learning for Continual Relation Extraction (Findings of ACL 2022)
Framwork of consistent representation learning
Memory Replay Architecture
<div align="center"> <img src=figs/crl.png width=80% /> </div>Dependencies
Use anaconda to create python environment:
conda create --name yourname python=3.8
conda activate yourname
Install Pytorch (suggestions>=1.7) and related environmental dependencies:
pip install -r requirements.txt
Pre-trained BERT weights:
- Download bert-base-uncased into the datasets/ directory [google drive].
Run the Code
python run_continual.py --dataname FewRel
Citation
Please cite our paper if you find our work useful for your research:
@misc{zhao2022consistent,
title={Consistent Representation Learning for Continual Relation Extraction},
author={Kang Zhao and Hua Xu and Jiangong Yang and Kai Gao},
year={2022},
eprint={2203.02721},
archivePrefix={arXiv},
primaryClass={cs.CL}
}