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Argumentation Mining on the Web from Information Seeking Perspective

Habernal, Ivan ; Eckle-Kohler, Judith ; Gurevych, Iryna
Hrsg.: Cabrio, Elena ; Villata, Serena ; Wyner, Adam (2014)
Argumentation Mining on the Web from Information Seeking Perspective.
Bertinoro, Italy
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

In this paper, we argue that an annotation scheme for argumentation mining is a function of the task requirements and the corpus properties. There is no one-size-fits-all argumentation theory to be applied to realistic data on the Web. In two annotation studies, we experiment with 80 German newspaper editorials from the Web and about one thousand English documents from forums, comments, and blogs. Our example topics are taken from the educational domain. To formalize the problem of annotating arguments, in the first case, we apply a Claim-Premise scheme, and in the second case, we modify Toulmin's scheme. We find that the choice of the argument components to be annotated strongly depends on the register, the length of the document, and inherently on the literary devices and structures used for expressing argumentation. We hope that these findings will facilitate the creation of reliably annotated argumentation corpora for a wide range of tasks and corpus types and will help to bridge the gap between argumentation theories and actual application needs.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2014
Herausgeber: Cabrio, Elena ; Villata, Serena ; Wyner, Adam
Autor(en): Habernal, Ivan ; Eckle-Kohler, Judith ; Gurevych, Iryna
Art des Eintrags: Bibliographie
Titel: Argumentation Mining on the Web from Information Seeking Perspective
Sprache: Englisch
Publikationsjahr: Juli 2014
Verlag: CEUR-WS
Buchtitel: Proceedings of the Workshop on Frontiers and Connections between Argumentation Theory and Natural Language Processing
Veranstaltungsort: Bertinoro, Italy
URL / URN: http://ceur-ws.org/Vol-1341/paper4.pdf
Kurzbeschreibung (Abstract):

In this paper, we argue that an annotation scheme for argumentation mining is a function of the task requirements and the corpus properties. There is no one-size-fits-all argumentation theory to be applied to realistic data on the Web. In two annotation studies, we experiment with 80 German newspaper editorials from the Web and about one thousand English documents from forums, comments, and blogs. Our example topics are taken from the educational domain. To formalize the problem of annotating arguments, in the first case, we apply a Claim-Premise scheme, and in the second case, we modify Toulmin's scheme. We find that the choice of the argument components to be annotated strongly depends on the register, the length of the document, and inherently on the literary devices and structures used for expressing argumentation. We hope that these findings will facilitate the creation of reliably annotated argumentation corpora for a wide range of tasks and corpus types and will help to bridge the gap between argumentation theories and actual application needs.

Freie Schlagworte: UKP_reviewed;UKP_a_ArMin
ID-Nummer: TUD-CS-2014-0886
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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