DARIUS: A Comprehensive Learner Corpus for Argument Mining in German-Language Essays
Nils-Jonathan Schaller, Andrea Horbach, Lars Höft, Yuning Ding, J. Luca Bahr, Jennifer Meyer, Thorben Jansen · 2024
In this paper, we present the DARIUS (Digital Argumentation Instruction for Science) corpus for argumentationquality on 4589 essays written by 1839 German secondary school students. The corpus is annotated according toa fine-grained annotation scheme, ranging from a broader perspective like content zones, to more granular featureslike argumentation coverage/reach and argumentative discourse units like claims and warrants. The features haveinter-annotator agreements up to 0.83 Krippendorff’s α. The corpus and dataset are publicly available for furtherresearch in argument mining.