This repository contains the code for our CAAI Transactions on Intelligence Technology (SCI, Q1) paper:

Chenghao Wu, Shumin Shi, Jiaxing Hu and Heyan Huang. Knowledge‐enriched joint‐learning model for implicit emotion cause extraction. CAAI Trans. Intell. Technol. 1–11(2022) [pdf]

Please cite our paper if you use this code.

• Python3
• Tensorflow 1.14.0

• data/ contains the data used in this study
  • Due to the policy of Beijing Engineering Research Center of High Volume Language Information Processing and Cl, we are not able to release all the data in a public repo. Please send email to bjssm@bit.edu.cn to request full data.
• src/ contains the scripts of KJ-IECE model.
• src/ contains the trained model files of KJ-IECE.
• docs/ contains the appendix of IECE paper.

• KJ-IECE ($\lambda = 0.25$)

python src/train_k_fold.py --integrate_ek=True --lam=0.25 

• Introduce External Knowledge with Different $\lambda$

python src/train_k_fold.py --integrate_ek=True --lam=1.0
python src/train_k_fold.py --integrate_ek=True --lam=0.75
python src/train_k_fold.py --integrate_ek=True --lam=0.5
python src/train_k_fold.py --integrate_ek=True --lam=0.0

• Not introduce External Knowledge ($None$)

python src/train_k_fold.py --integrate_ek=False

Please consider citing the following paper when using our code or pretrained models for your application.

@article{https://doi.org/10.1049/cit2.12099,
author = {Wu, Chenghao and Shi, Shumin and Hu, Jiaxing and Huang, Heyan},
title = {Knowledge-enriched joint-learning model for implicit emotion cause extraction},
journal = {CAAI Transactions on Intelligence Technology},
keywords = {emotion cause extraction, external knowledge fusion, implicit emotion recognition, joint learning},
doi = {https://doi.org/10.1049/cit2.12099},
url = {https://ietresearch.onlinelibrary.wiley.com/doi/abs/10.1049/cit2.12099},
eprint = {https://ietresearch.onlinelibrary.wiley.com/doi/pdf/10.1049/cit2.12099},
}