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Annotating Argument Components and Relations in Persuasive Essays

Stab, Christian ; Gurevych, Iryna
Hrsg.: Tsujii, Junichi ; Hajic, Jan (2014)
Annotating Argument Components and Relations in Persuasive Essays.
Dublin, Ireland
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (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.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2014
Herausgeber: Tsujii, Junichi ; Hajic, Jan
Autor(en): Stab, Christian ; Gurevych, Iryna
Art des Eintrags: Bibliographie
Titel: Annotating Argument Components and Relations in Persuasive Essays
Sprache: Englisch
Publikationsjahr: August 2014
Verlag: Dublin City University and Association for Computational Linguistics
Buchtitel: Proceedings of the 25th International Conference on Computational Linguistics (COLING 2014)
Veranstaltungsort: Dublin, Ireland
URL / URN: http://www.aclweb.org/anthology/C14-1142
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Kurzbeschreibung (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.

Freie Schlagworte: UKP_reviewed;UKP_a_ENLP;UKP_a_ArMin
ID-Nummer: TUD-CS-2014-0823
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Ubiquitäre Wissensverarbeitung
Hinterlegungsdatum: 31 Dez 2016 14:29
Letzte Änderung: 24 Jan 2020 12:03
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