Visualization of the Topic Space of Argument Search Results in args.me

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

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External Research Organisations

  • Bauhaus-Universität Weimar
  • Paderborn University
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Details

Original languageEnglish
Title of host publicationProceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (System Demonstrations)
EditorsEduardo Blanco, Wei Lu
Place of PublicationBrüssel
Pages60-65
Number of pages6
Publication statusPublished - Nov 2018
Externally publishedYes
Event2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, EMNLP 2018 - Brüssel, Belgium
Duration: 31 Oct 20184 Nov 2018

Abstract

In times of fake news and alternative facts, pro and con arguments on controversial topics are of increasing importance. Recently, we presented args.me as the first search engine for arguments on the web. In its initial version, args.me ranked arguments solely by their relevance to a topic queried for, making it hard to learn about the diverse topical aspects covered by the search results. To tackle this shortcoming, we integrated a visualization interface for result exploration in args.me that provides an instant overview of the main aspects in a barycentric coordinate system. This topic space is generated ad-hoc from controversial issues on Wikipedia and argument-specific LDA models. In two case studies, we demonstrate how individual arguments can be found easily through interactions with the visualization, such as highlighting and filtering.

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Cite this

Visualization of the Topic Space of Argument Search Results in args.me. / Ajjour, Yamen; Wachsmuth, Henning; Kiesel, Dora et al.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (System Demonstrations). ed. / Eduardo Blanco; Wei Lu. Brüssel, 2018. p. 60-65.

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

Ajjour, Y, Wachsmuth, H, Kiesel, D, Riehmann, P, Fan, F, Castiglia, G, Adejoh, R, Fröhlich, B & Stein, B 2018, Visualization of the Topic Space of Argument Search Results in args.me. in E Blanco & W Lu (eds), Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (System Demonstrations). Brüssel, pp. 60-65, 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, EMNLP 2018, Brüssel, Belgium, 31 Oct 2018. https://doi.org/10.18653/v1/d18-2011
Ajjour, Y., Wachsmuth, H., Kiesel, D., Riehmann, P., Fan, F., Castiglia, G., Adejoh, R., Fröhlich, B., & Stein, B. (2018). Visualization of the Topic Space of Argument Search Results in args.me. In E. Blanco, & W. Lu (Eds.), Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (System Demonstrations) (pp. 60-65). https://doi.org/10.18653/v1/d18-2011
Ajjour Y, Wachsmuth H, Kiesel D, Riehmann P, Fan F, Castiglia G et al. Visualization of the Topic Space of Argument Search Results in args.me. In Blanco E, Lu W, editors, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (System Demonstrations). Brüssel. 2018. p. 60-65 doi: 10.18653/v1/d18-2011
Ajjour, Yamen ; Wachsmuth, Henning ; Kiesel, Dora et al. / Visualization of the Topic Space of Argument Search Results in args.me. Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (System Demonstrations). editor / Eduardo Blanco ; Wei Lu. Brüssel, 2018. pp. 60-65
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abstract = "In times of fake news and alternative facts, pro and con arguments on controversial topics are of increasing importance. Recently, we presented args.me as the first search engine for arguments on the web. In its initial version, args.me ranked arguments solely by their relevance to a topic queried for, making it hard to learn about the diverse topical aspects covered by the search results. To tackle this shortcoming, we integrated a visualization interface for result exploration in args.me that provides an instant overview of the main aspects in a barycentric coordinate system. This topic space is generated ad-hoc from controversial issues on Wikipedia and argument-specific LDA models. In two case studies, we demonstrate how individual arguments can be found easily through interactions with the visualization, such as highlighting and filtering.",
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Download

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AU - Ajjour, Yamen

AU - Wachsmuth, Henning

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