Computational Argumentation Quality Assessment in Natural Language

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Authors

  • Henning Wachsmuth
  • Nona Naderi
  • Yufang Hou
  • Yonatan Bilu
  • Vinodkumar Prabhakaran
  • Tim Alberdingk Thijm
  • Graeme Hirst
  • Benno Stein

External Research Organisations

  • Bauhaus-Universität Weimar
  • University of Toronto
  • IBM Research Europe
  • IBM Research
  • Stanford University
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Details

Original languageEnglish
Title of host publicationProceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers
Pages176-187
Number of pages12
Publication statusPublished - Apr 2017
Externally publishedYes
Event15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017 - Valencia, Spain
Duration: 3 Apr 20177 Apr 2017

Abstract

Research on computational argumentation faces the problem of how to automatically assess the quality of an argument or argumentation. While different quality dimensions have been approached in natural language processing, a common understanding of argumentation quality is still missing. This paper presents the first holistic work on computational argumentation quality in natural language. We comprehensively survey the diverse existing theories and approaches to assess logical, rhetorical, and dialectical quality dimensions, and we derive a systematic taxonomy from these. In addition, we provide a corpus with 320 arguments, annotated for all 15 dimensions in the taxonomy. Our results establish a common ground for research on computational argumentation quality assessment.

ASJC Scopus subject areas

Cite this

Computational Argumentation Quality Assessment in Natural Language. / Wachsmuth, Henning; Naderi, Nona; Hou, Yufang et al.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers. 2017. p. 176-187.

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Wachsmuth, H, Naderi, N, Hou, Y, Bilu, Y, Prabhakaran, V, Thijm, TA, Hirst, G & Stein, B 2017, Computational Argumentation Quality Assessment in Natural Language. in Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers. pp. 176-187, 15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017, Valencia, Spain, 3 Apr 2017. https://doi.org/10.18653/v1/e17-1017
Wachsmuth, H., Naderi, N., Hou, Y., Bilu, Y., Prabhakaran, V., Thijm, T. A., Hirst, G., & Stein, B. (2017). Computational Argumentation Quality Assessment in Natural Language. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers (pp. 176-187) https://doi.org/10.18653/v1/e17-1017
Wachsmuth H, Naderi N, Hou Y, Bilu Y, Prabhakaran V, Thijm TA et al. Computational Argumentation Quality Assessment in Natural Language. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers. 2017. p. 176-187 doi: 10.18653/v1/e17-1017
Wachsmuth, Henning ; Naderi, Nona ; Hou, Yufang et al. / Computational Argumentation Quality Assessment in Natural Language. Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers. 2017. pp. 176-187
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