Hierarchical information extraction Network (HiNet)
Source code for paper: HiNet: Novel Multi-Scenario & Multi-Task Learning with Hierarchical Information Extraction
Model architecture:
Bibtex:
@article{Zhou2023HiNet,
title={HiNet: Novel Multi-Scenario & Multi-Task Learning with Hierarchical Information Extraction},
author={Zhou, Jie and Cao, Xianshuai and Li, Wenhao and Bo, Lin and Luo, Chuan and Yu, Qian,
year={2023},
}
Python >= 3.7
Tensorflow >= 1.15.0
python -u HiNet.py --config_file_path=../config/hinet_sample_schemas.json --task_type=train
You can modify the "FLAGS" parameters as needed.
- The work is supported by MeiTuan.
- The work is also supported by the National Natural Science Foundation of China (No. 62202025 and 62002012).