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Webis-Editorials-16
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3254405Updated 2016
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EmailClick to copy linkLink copiedCiteSteve Göring; Henning Wachsmuth; Johannes Kiesel; Matthias Hagen; Benno Stein (2016). Webis-Editorials-16 [Dataset]. http://doi.org/10.5281/zenodo.32544053254405Available download formatsUnique identifierhttps://doi.org/10.5281/zenodo.3254405Dataset updated2016Dataset provided byLeibniz Universität Hannover
Friedrich Schiller University Jena
Bauhaus-Universität Weimar
The Web Technology & Information Systems Network
University of Groningen
GESIS - Leibniz Institute for the Social SciencesAuthorsSteve Göring; Henning Wachsmuth; Johannes Kiesel; Matthias Hagen; Benno SteinLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionThe Webis-Editorials-16 corpus is a novel corpus with 300 news editorials evenly selected from three diverse online news portals: Al Jazeera, Fox News, and The Guardian. The aim of the corpus is to study (1) the mining and classification of fine-grained types of argumentative discourse units and (2) the analysis of argumentation strategies pursued in editorials to achieve persuasion. To this end, each editorial contains manual type annotations of all units that capture the role that a unit plays in the argumentative discourse, such as assumption or statistics. The corpus consists of 14,313 units of six different types, each annotated by three professional annotators from the crowdsourcing platform upwork.com.
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FacebookTwitterEmailFriedrich Schiller University Jena
Bauhaus-Universität Weimar
The Web Technology & Information Systems Network
University of Groningen
GESIS - Leibniz Institute for the Social Sciences
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The Webis-Editorials-16 corpus is a novel corpus with 300 news editorials evenly selected from three diverse online news portals: Al Jazeera, Fox News, and The Guardian. The aim of the corpus is to study (1) the mining and classification of fine-grained types of argumentative discourse units and (2) the analysis of argumentation strategies pursued in editorials to achieve persuasion. To this end, each editorial contains manual type annotations of all units that capture the role that a unit plays in the argumentative discourse, such as assumption or statistics. The corpus consists of 14,313 units of six different types, each annotated by three professional annotators from the crowdsourcing platform upwork.com.