2 datasets found
  1. W

    Data from: args.me corpus

    • webis.de
    3274635, html
    Updated 2019
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Yamen Ajjour; Henning Wachsmuth; Johannes Kiesel; Martin Potthast; Matthias Hagen; Benno Stein (2019). args.me corpus [Dataset]. http://doi.org/10.5281/zenodo.3274635
    Explore at:
    3274635, htmlAvailable download formats
    Unique identifier
    https://doi.org/10.5281/zenodo.3274635
    Dataset updated
    2019
    Dataset provided by
    Leibniz Universität Hannover
    The Web Technology & Information Systems Network
    University of Technology Nuremberg
    Bauhaus-Universität Weimar
    Friedrich Schiller University Jena
    University of Kassel, hessian.AI, and ScaDS.AI
    GESIS - Leibniz Institute for the Social Sciences
    Authors
    Yamen Ajjour; Henning Wachsmuth; Johannes Kiesel; Martin Potthast; Matthias Hagen; Benno Stein
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    args.me corpus comprises 387 606 arguments crawled from four debate portals in the middle of 2019. The debate portals are Debatewise, IDebate.org, Debatepedia, and Debate.org. The arguments are extracted using heuristics that are designed for each debate portal.

  2. Z

    Webis Argument Quality Corpus 2020 (Webis-ArgQuality-20)

    • data.niaid.nih.gov
    • resodate.org
    Updated May 3, 2020
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Gienapp, Lukas; Stein, Benno; Hagen, Matthias; Potthast, Martin (2020). Webis Argument Quality Corpus 2020 (Webis-ArgQuality-20) [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_3780048
    Explore at:
    Dataset updated
    May 3, 2020
    Dataset provided by
    Bauhaus-Universität Weimar,
    Martin-Luther-Universität Halle-Wittenberg
    Leipzig University
    Authors
    Gienapp, Lukas; Stein, Benno; Hagen, Matthias; Potthast, Martin
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The Webis Argument Quality Corpus 2020 (Webis-ArgQuality-20) contains 1271 arguments spanning 20 topics with scores for rhetorical, logical, dialectical, and overall quality as well as topical relevance. Quality scores are inferred from a total of 42k pairwise judgments. Arguments are sourced from the args.me corpus.

  3. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Yamen Ajjour; Henning Wachsmuth; Johannes Kiesel; Martin Potthast; Matthias Hagen; Benno Stein (2019). args.me corpus [Dataset]. http://doi.org/10.5281/zenodo.3274635

Data from: args.me corpus

Related Article
Explore at:
5 scholarly articles cite this dataset (View in Google Scholar)
3274635, htmlAvailable download formats
Unique identifier
https://doi.org/10.5281/zenodo.3274635
Dataset updated
2019
Dataset provided by
Leibniz Universität Hannover
The Web Technology & Information Systems Network
University of Technology Nuremberg
Bauhaus-Universität Weimar
Friedrich Schiller University Jena
University of Kassel, hessian.AI, and ScaDS.AI
GESIS - Leibniz Institute for the Social Sciences
Authors
Yamen Ajjour; Henning Wachsmuth; Johannes Kiesel; Martin Potthast; Matthias Hagen; Benno Stein
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

args.me corpus comprises 387 606 arguments crawled from four debate portals in the middle of 2019. The debate portals are Debatewise, IDebate.org, Debatepedia, and Debate.org. The arguments are extracted using heuristics that are designed for each debate portal.

Search
Clear search
Close search
Google apps
Main menu