A Corpus for Argumentative Writing Support in German

Item Type Conference or Workshop Item (Paper)
Abstract

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 Ger-man 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.

Authors Wambsganss, Thiemo; Niklaus, Christina; Söllner, Matthias; Handschuh, Siegfried & Leimeister, Jan Marco
Research Team IWI6
Language English
Keywords adaptive_learning, argumentation_learning, argumentation_mining, corpus_development
Subjects information management
HSG Classification contribution to scientific community
Date 2020
Event Title 28th International Conference on Computational Linguistics (COLING)
Event Dates 08.12.20. - 13.12.20
Depositing User Mahei Li
Date Deposited 27 Oct 2020 20:38
Last Modified 25 Feb 2021 08:05
URI: https://www.alexandria.unisg.ch/publications/261296

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Citation

Wambsganss, Thiemo; Niklaus, Christina; Söllner, Matthias; Handschuh, Siegfried & Leimeister, Jan Marco: A Corpus for Argumentative Writing Support in German. 2020. - 28th International Conference on Computational Linguistics (COLING).

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https://www.alexandria.unisg.ch/id/eprint/261296
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