CLLGOct 26, 2020

A Corpus for Argumentative Writing Support in German

arXiv:2010.13674v1991 citations
Originality Synthesis-oriented
AI Analysis

This work addresses the need for argumentative writing support systems for students in German language education, though it is incremental as it builds on existing annotation methods for a new dataset.

The paper tackles the problem of analyzing argumentative structures in German student-written persuasive peer reviews by proposing a novel annotation scheme for claims, premises, and relations, resulting in a freely available corpus of 1,000 reviews with inter-rater agreements of α=0.57 for components and α=0.49 for relations.

In this paper, we present a novel annotation approach to capture claims and premises of arguments and their relations in student-written persuasive peer reviews on business models in German language. We propose an annotation scheme based on annotation guidelines that allows to model claims and premises as well as support and attack relations for capturing the structure of argumentative discourse in student-written peer reviews. We conduct an annotation study with three annotators on 50 persuasive essays to evaluate our annotation scheme. The obtained inter-rater agreement of $α=0.57$ for argument components and $α=0.49$ for argumentative relations indicates that the proposed annotation scheme successfully guides annotators to moderate agreement. Finally, we present our freely available corpus of 1,000 persuasive student-written peer reviews on business models and our annotation guidelines to encourage future research on the design and development of argumentative writing support systems for students.

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