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ArgumenText: Searching for Arguments in Heterogeneous Sources

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

Offizielle URL: http://www.aclweb.org/anthology/N18-5005

Kurzbeschreibung (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.

Typ des Eintrags: Konferenz- oder Workshop-Beitrag (Keine Angabe)
Erschienen: 2018
Autor(en): Stab, Christian ; Daxenberger, Johannes ; Stahlhut, Chris ; Miller, Tristan ; Schiller, Benjamin ; Tauchmann, Christopher ; Eger, Steffen ; Gurevych, Iryna
Titel: ArgumenText: Searching for Arguments in Heterogeneous Sources
Sprache: Englisch
Kurzbeschreibung (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.

Buchtitel: Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: System Demonstrations
Freie Schlagworte: UKP_p_ArgumenText, UKP_a_ArMin, UKP_p_DKPro
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Ubiquitäre Wissensverarbeitung
DFG-Graduiertenkollegs
DFG-Graduiertenkollegs > Graduiertenkolleg 1994 Adaptive Informationsaufbereitung aus heterogenen Quellen
DFG-Graduiertenkollegs > Graduiertenkolleg 2222 KRITIS - Kritische Infrastrukturen. Konstruktion, Funktionskrisen und Schutz in Städten
Veranstaltungstitel: The 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Veranstaltungsort: New Orleans, Louisiana
Veranstaltungsdatum: 01.06.2018--06.06.2018
Hinterlegungsdatum: 11 Jun 2018 14:04
Offizielle URL: http://www.aclweb.org/anthology/N18-5005
Verwandte URLs:
Projekte: ArgumenText
Sponsoren: German Federal Ministry of Education and Research (BMBF), the promotional reference 03VP02540 (ArgumenText)
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