by Soumya Ranjan Dash*, Sandeep Routray*, Prateek Varshney*, Ashutosh Modi
This repository gives a Pytorch implementation of the method in the system description paper.
- Python3.5 (or higher)
- Pytorch 1.5.1
- numpy
- transformers
- csv
git clone https://github.com/soumyardash/SemEval2020-Task4.git
cd SemEval2020-Task4/
pip install transformers
If our method is useful for your research, please consider citing:
@misc{dash2020csnet,
title={CS-NET at SemEval-2020 Task 4: Siamese BERT for ComVE},
author={Soumya Ranjan Dash and Sandeep Routray and Prateek Varshney and Ashutosh Modi},
year={2020},
eprint={2007.10830},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
@inproceedings{wangsemeval,
title = "{S}em{E}val-2020 Task 4: Commonsense Validation and Explanation",
author = "Wang, Cunxiang and
Liang, Shuailong and
Jin, Yili and
Wang, Yilong and
Zhu, Xiaodan and
Zhang, Yue",
booktitle = "Proceedings of The 14th International Workshop on Semantic Evaluation",
year = "2020",
publisher = "Association for Computational Linguistics",
}