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  1. Webis-Editorials-16

    • webis.de
    • temir.org
    • +1more
    Published 2016
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4 scholarly articles cite this dataset (View in Google Scholar)
  • Dataset published 2016
Dataset provided by
Bauhaus University, Weimarhttp://www.uni-weimar.de/
The Web Technology & Information Systems Network
Kiesel, Johannes; Al-Khatib, Khalid; Hagen, Matthias; Stein, Benno; Wachsmuth, Henning; Göring, Steve

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

Available download formats from providers

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.

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