A decision tree for annotating argumentation scheme corpora

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Quantitative approaches, necessary for e.g. computationallinguistic methods such as argument mining, require large annotated corpora of argumentative discourse. Publicly available corpora of argumentation schemes often only cover a small selection of example schemes and suffer from low
inter-annotator agreement. To address this, we present a heuristic decision tree for the classification of Walton's toplevel taxonomy of 60 schemes. An annotation study on 505 arguments resulted in a 97% classification covering 38 schemes (Cohen’s κ 0.723).
Original languageEnglish
Publication statusPublished - 2020
Event3rd European Conference on Argumentation: Reason to Dissent - University of Groningen, Groningen, Netherlands
Duration: 24 Jun 201927 Feb 2021


Conference3rd European Conference on Argumentation
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