Repository for the paper "Causal Inference from Text: Unveiling Interactions between Variables" appear in Findings of EMNLP 2023.

• git clone https://github.com/zyxnlp/DIVA.git
• cd DIVA
• conda create -n DIVA python=3.9.7
• conda activate DIVA or source activate DIVA
• conda install pytorch==1.11.0 -c pytorch
• pip install -r requirements.txt

• Downlaod datasets from here
• Unzip the .zip file under the folder DIVA/

• Downlaod finbert model from here
• Unzip the .zip file under the folder DIVA/

./run.sh

If you find our work or the code useful, please cite our paper:

@inproceedings{zhou2023causal,
 title={Causal Inference from Text: Unveiling Interactions between Variables},
 author={Zhou, Yuxiang and He, Yulan},
 booktitle={Findings of EMNLP},
 year={2023},
 url={https://arxiv.org/pdf/2311.05286.pdf}
}