RIFRE

Pytorch implementation for codes in Representation Iterative Fusion Based on Heterogeneous Graph Neural Network for Joint Entity and Relation Extraction

Model

requirements

• python 3.7
• torch 1.3
• tqdm
• transformers
• numpy

Run the Code

python train.py

Citation

@article{ZHAO2021106888,
title = {Representation iterative fusion based on heterogeneous graph neural network for joint entity and relation extraction},
journal = {Knowledge-Based Systems},
pages = {106888},
year = {2021},
issn = {0950-7051},
doi = {https://doi.org/10.1016/j.knosys.2021.106888},
url = {https://www.sciencedirect.com/science/article/pii/S0950705121001519},
author = {Kang Zhao and Hua Xu and Yue Cheng and Xiaoteng Li and Kai Gao}
}