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Annotating Argument Components and Relations in Persuasive Essays

Stab, Christian and Gurevych, Iryna Tsujii, Junichi and Hajic, Jan (eds.) (2014):
Annotating Argument Components and Relations in Persuasive Essays.
In: Proceedings of the 25th International Conference on Computational Linguistics (COLING 2014), Dublin City University and Association for Computational Linguistics, Dublin, Ireland, pp. 1501-1510, [Online-Edition: http://www.aclweb.org/anthology/C14-1142],
[Conference or Workshop Item]

Abstract

In this paper, we present a novel approach to model arguments, their components and relations in persuasive essays in English. We propose an annotation scheme that includes the annotation of claims and premises as well as support and attack relations for capturing the structure of argumentative discourse. We further conduct a manual annotation study with three annotators on 90 persuasive essays. The obtained inter-rater agreement of αU = 0.72 for argument components and α = 0.81 for argumentative relations indicates that the proposed annotation scheme successfully guides annotators to substantial agreement. The final corpus and the annotation guidelines are freely available to encourage future research in argument recognition.

Item Type: Conference or Workshop Item
Erschienen: 2014
Editors: Tsujii, Junichi and Hajic, Jan
Creators: Stab, Christian and Gurevych, Iryna
Title: Annotating Argument Components and Relations in Persuasive Essays
Language: English
Abstract:

In this paper, we present a novel approach to model arguments, their components and relations in persuasive essays in English. We propose an annotation scheme that includes the annotation of claims and premises as well as support and attack relations for capturing the structure of argumentative discourse. We further conduct a manual annotation study with three annotators on 90 persuasive essays. The obtained inter-rater agreement of αU = 0.72 for argument components and α = 0.81 for argumentative relations indicates that the proposed annotation scheme successfully guides annotators to substantial agreement. The final corpus and the annotation guidelines are freely available to encourage future research in argument recognition.

Title of Book: Proceedings of the 25th International Conference on Computational Linguistics (COLING 2014)
Publisher: Dublin City University and Association for Computational Linguistics
Uncontrolled Keywords: UKP_reviewed;UKP_a_ENLP;UKP_a_ArMin
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Ubiquitous Knowledge Processing
Event Location: Dublin, Ireland
Date Deposited: 31 Dec 2016 14:29
Official URL: http://www.aclweb.org/anthology/C14-1142
Identification Number: TUD-CS-2014-0823
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