📋 End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and Models
This repository is the official implementation of End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and Models.
Please use the following citation:
@article{yao2022end,
title={End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and Models},
author={Yao, Barry Menglong and Shah, Aditya and Sun, Lichao and Cho, Jin-Hee and Huang, Lifu},
journal={arXiv preprint arXiv:2205.12487},
year={2022}
}
To install requirements:
pip install -r requirements.txt
You can download dataset here:
You can download pretrained models here:
- pretrained models trained on MOCHEG.
To evaluate models on MOCHEG, run:
python eval.sh
This repository was build by Barry Menglong Yao, Aditya Shah.
The data crawler scripts are based on conll2019-snopes-crawling.
📋 Our dataset is licensed under the CC BY 4.0. The associated codes are licensed under Apache License 2.0.