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Argumentation Mining in Persuasive Essays and Scientific Articles from the Discourse Structure Perspective

Stab, Christian and Kirschner, Christian and Eckle-Kohler, Judith and Gurevych, Iryna Cabrio, Elena and Villata, Serena and Wyner, Adam (eds.) (2014):
Argumentation Mining in Persuasive Essays and Scientific Articles from the Discourse Structure Perspective.
In: Proceedings of the Workshop on Frontiers and Connections between Argumentation Theory and Natural Language Processing, CEUR-WS, Bertinoro, Italy, [Online-Edition: http://ceur-ws.org/Vol-1341/paper5.pdf],
[Conference or Workshop Item]

Abstract

In this paper, we analyze and discuss approaches to argumentation mining from the discourse structure perspective. We chose persuasive essays and scientific articles as our example domains. By analyzing several example arguments and providing an overview of previous work on argumentation mining, we derive important tasks that are currently not addressed by existing argumentation mining systems, most importantly, the identification of argumentation structures. We discuss the relation of this task to automated discourse analysis and describe preliminary results of two annotation studies focusing on the annotation of argumentation structure. Based on our findings, we derive three challenges for encouraging future research on argumentation mining.

Item Type: Conference or Workshop Item
Erschienen: 2014
Editors: Cabrio, Elena and Villata, Serena and Wyner, Adam
Creators: Stab, Christian and Kirschner, Christian and Eckle-Kohler, Judith and Gurevych, Iryna
Title: Argumentation Mining in Persuasive Essays and Scientific Articles from the Discourse Structure Perspective
Language: English
Abstract:

In this paper, we analyze and discuss approaches to argumentation mining from the discourse structure perspective. We chose persuasive essays and scientific articles as our example domains. By analyzing several example arguments and providing an overview of previous work on argumentation mining, we derive important tasks that are currently not addressed by existing argumentation mining systems, most importantly, the identification of argumentation structures. We discuss the relation of this task to automated discourse analysis and describe preliminary results of two annotation studies focusing on the annotation of argumentation structure. Based on our findings, we derive three challenges for encouraging future research on argumentation mining.

Title of Book: Proceedings of the Workshop on Frontiers and Connections between Argumentation Theory and Natural Language Processing
Publisher: CEUR-WS
Uncontrolled Keywords: Knowledge Discovery in Scientific Literature;UKP_reviewed;UKP_a_ArMin
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Ubiquitous Knowledge Processing
Event Location: Bertinoro, Italy
Date Deposited: 31 Dec 2016 14:29
Official URL: http://ceur-ws.org/Vol-1341/paper5.pdf
Identification Number: TUD-CS-2014-0879
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