Prior research in computational argumentation has mainly focused on scoring the quality of arguments, with less attention on explicating logical errors. In this work, we introduce four sets of explainable templates for common informal logical fallacies designed to explicate a fallacy's implicit logic. Using our templates, we conduct an annotation study on top of 400 fallacious arguments taken from LOGIC dataset and achieve a high agreement score (Krippendorf's alpha of 0.54) and reasonable coverage (0.83). Finally, we conduct an experiment for detecting the structure of fallacies and discover that state-of-the-art language models struggle with detecting fallacy templates (0.47 accuracy). To facilitate research on fallacies, we make our dataset and guidelines publicly available.
@article{arxiv.2406.12402,
title = {Flee the Flaw: Annotating the Underlying Logic of Fallacious Arguments Through Templates and Slot-filling},
author = {Irfan Robbani and Paul Reisert and Naoya Inoue and Surawat Pothong and Camélia Guerraoui and Wenzhi Wang and Shoichi Naito and Jungmin Choi and Kentaro Inui},
journal= {arXiv preprint arXiv:2406.12402},
year = {2024}
}