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ArgumenText: Searching for Arguments in Heterogeneous Sources

Stab, Christian and Daxenberger, Johannes and Stahlhut, Chris and Miller, Tristan and Schiller, Benjamin and Tauchmann, Christopher and Eger, Steffen and Gurevych, Iryna (2018):
ArgumenText: Searching for Arguments in Heterogeneous Sources.
In: Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: System Demonstrations, In: The 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, New Orleans, Louisiana, 01.06.2018--06.06.2018, [Online-Edition: http://www.aclweb.org/anthology/N18-5005],
[Conference or Workshop Item]

Abstract

Argument mining is a core technology for enabling argument search in large corpora. However, most current approaches fall short when applied to heterogeneous texts. In this paper, we present an argument retrieval system capable of retrieving sentential arguments for any given controversial topic. By analyzing the highest-ranked results extracted from Web sources, we found that our system covers 89% of arguments found in expert-curated lists of arguments from an online debate portal, and also identifies additional valid arguments.

Item Type: Conference or Workshop Item
Erschienen: 2018
Creators: Stab, Christian and Daxenberger, Johannes and Stahlhut, Chris and Miller, Tristan and Schiller, Benjamin and Tauchmann, Christopher and Eger, Steffen and Gurevych, Iryna
Title: ArgumenText: Searching for Arguments in Heterogeneous Sources
Language: English
Abstract:

Argument mining is a core technology for enabling argument search in large corpora. However, most current approaches fall short when applied to heterogeneous texts. In this paper, we present an argument retrieval system capable of retrieving sentential arguments for any given controversial topic. By analyzing the highest-ranked results extracted from Web sources, we found that our system covers 89% of arguments found in expert-curated lists of arguments from an online debate portal, and also identifies additional valid arguments.

Title of Book: Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: System Demonstrations
Uncontrolled Keywords: UKP_p_ArgumenText, UKP_a_ArMin, UKP_p_DKPro
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Ubiquitous Knowledge Processing
DFG-Graduiertenkollegs
DFG-Graduiertenkollegs > Research Training Group 1994 Adaptive Preparation of Information from Heterogeneous Sources
DFG-Graduiertenkollegs > Research Training Group 2222 CRITIS – Critical Infrastructures: Construction, Functional Failures, and Protection in Cities
Event Title: The 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Event Location: New Orleans, Louisiana
Event Dates: 01.06.2018--06.06.2018
Date Deposited: 11 Jun 2018 14:04
Official URL: http://www.aclweb.org/anthology/N18-5005
Related URLs:
Projects: ArgumenText
Funders: German Federal Ministry of Education and Research (BMBF), the promotional reference 03VP02540 (ArgumenText)
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