@inproceedings{robbani-etal-2024-flee,
    title = "Flee the Flaw: Annotating the Underlying Logic of Fallacious Arguments Through Templates and Slot-filling",
    author = "Robbani, Irfan  and
      Reisert, Paul  and
      Pothong, Surawat  and
      Inoue, Naoya  and
      Guerraoui, Cam{\'e}lia  and
      Wang, Wenzhi  and
      Naito, Shoichi  and
      Choi, Jungmin  and
      Inui, Kentaro",
    editor = "Al-Onaizan, Yaser  and
      Bansal, Mohit  and
      Chen, Yun-Nung",
    booktitle = "Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing",
    month = nov,
    year = "2024",
    address = "Miami, Florida, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2024.emnlp-main.1142/",
    doi = "10.18653/v1/2024.emnlp-main.1142",
    pages = "20524--20540",
    abstract = "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 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."
}