Flee the Flaw: Annotating the Underlying Logic of Fallacious Arguments Through Templates and Slot-filling

Anonymous

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 (0.829). 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 (0.31 $F_1$). To facilitate research on fallacies, we make our dataset publicly available.

Paper Type: short

Research Area: Sentiment Analysis, Stylistic Analysis, and Argument Mining

Contribution Types: Data resources

Languages Studied: English