This folder contains the scripts and the associated notebooks with the experiments performed on different modules associated with the project on Logical Fallacy Identification
.
├── AMR Parsers and Graphs # Codebase for experiments using AMR parsers and graphs
├── Data Augmentation # Codebase for experiments regarding data augmentation
├── Fallacy Classification # Codebase for experiments on fallacy Classification
|── Propaganda Detection. # Codebase for experiments regarding propaganda detection
|── Prototex # Codebase for experiments regarding Prototex and prototype-based learning
├── Data # Data associated with the folder
├── Notebooks # Folder for associated Jupyter Notebooks
├── Scripts # Folder for associated scripts
└── README.md # README.md for instructions on running scripts
Please use the following citation if you use this codebase for your research
@misc{sourati2023robust,
title={Robust and Explainable Identification of Logical Fallacies in Natural Language Arguments},
author={Zhivar Sourati and Vishnu Priya Prasanna Venkatesh and Darshan Deshpande and Himanshu Rawlani and Filip Ilievski and Hông-Ân Sandlin and Alain Mermoud},
year={2023},
eprint={2212.07425},
archivePrefix={arXiv},
primaryClass={cs.CL}
}