Conference paper
Proceedings of the 28th International Conference on Computational Linguistics, International Committee on Computational Linguistics, Barcelona, Spain (Online), 2020 Dec, pp. 856--869
Assistant Professor in Computer Science with focus on “Databases and Data Engineering”
APA
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Wambsganss, T., Niklaus, C., Söllner, M., Handschuh, S., & Leimeister, J. M. (2020). A Corpus for Argumentative Writing Support in German. In Proceedings of the 28th International Conference on Computational Linguistics (pp. 856–869). Barcelona, Spain (Online): International Committee on Computational Linguistics.
Chicago/Turabian
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Wambsganss, Thiemo, Christina Niklaus, Matthias Söllner, Siegfried Handschuh, and Jan Marco Leimeister. “A Corpus for Argumentative Writing Support in German.” In Proceedings of the 28th International Conference on Computational Linguistics, 856–869. Barcelona, Spain (Online): International Committee on Computational Linguistics, 2020.
MLA
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Wambsganss, Thiemo, et al. “A Corpus for Argumentative Writing Support in German.” Proceedings of the 28th International Conference on Computational Linguistics, International Committee on Computational Linguistics, 2020, pp. 856–69.
BibTeX Click to copy
@inproceedings{wambsganss2020a,
title = {A Corpus for Argumentative Writing Support in German},
year = {2020},
month = dec,
address = {Barcelona, Spain (Online)},
pages = {856--869},
publisher = {International Committee on Computational Linguistics},
author = {Wambsganss, Thiemo and Niklaus, Christina and Söllner, Matthias and Handschuh, Siegfried and Leimeister, Jan Marco},
booktitle = {Proceedings of the 28th International Conference on Computational Linguistics},
month_numeric = {12}
}
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 interrater 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.