@inproceedings{wambsganss-etal-2020-corpus,
title = "A Corpus for Argumentative Writing Support in {G}erman",
author = {Wambsganss, Thiemo and
Niklaus, Christina and
S{\"o}llner, Matthias and
Handschuh, Siegfried and
Leimeister, Jan Marco},
editor = "Scott, Donia and
Bel, Nuria and
Zong, Chengqing",
booktitle = "Proceedings of the 28th International Conference on Computational Linguistics",
month = dec,
year = "2020",
address = "Barcelona, Spain (Online)",
publisher = "International Committee on Computational Linguistics",
url = "https://aclanthology.org/2020.coling-main.74/",
doi = "10.18653/v1/2020.coling-main.74",
pages = "856--869",
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 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 {\ensuremath{\alpha}} = 0.57 for argument components and {\ensuremath{\alpha}} = 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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<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 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 \ensuremathα = 0.57 for argument components and \ensuremathα = 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.</abstract>
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%0 Conference Proceedings
%T A Corpus for Argumentative Writing Support in German
%A Wambsganss, Thiemo
%A Niklaus, Christina
%A Söllner, Matthias
%A Handschuh, Siegfried
%A Leimeister, Jan Marco
%Y Scott, Donia
%Y Bel, Nuria
%Y Zong, Chengqing
%S Proceedings of the 28th International Conference on Computational Linguistics
%D 2020
%8 December
%I International Committee on Computational Linguistics
%C Barcelona, Spain (Online)
%F wambsganss-etal-2020-corpus
%X 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 \ensuremathα = 0.57 for argument components and \ensuremathα = 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.
%R 10.18653/v1/2020.coling-main.74
%U https://aclanthology.org/2020.coling-main.74/
%U https://doi.org/10.18653/v1/2020.coling-main.74
%P 856-869
Markdown (Informal)
[A Corpus for Argumentative Writing Support in German](https://aclanthology.org/2020.coling-main.74/) (Wambsganss et al., COLING 2020)
ACL
- Thiemo Wambsganss, Christina Niklaus, Matthias Söllner, Siegfried Handschuh, and Jan Marco Leimeister. 2020. A Corpus for Argumentative Writing Support in German. In Proceedings of the 28th International Conference on Computational Linguistics, pages 856–869, Barcelona, Spain (Online). International Committee on Computational Linguistics.