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2 datasets found
  1. W

    Webis-Editorials-16

    • webis.de
    • zenodo.org
    3254405
    Updated 2016
  2. E

    Webis EditorialSum Corpus 2020

    • live.european-language-grid.eu
    • zenodo.org
    csv
    Updated Oct 19, 2020
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Steve Göring; Henning Wachsmuth; Johannes Kiesel; Matthias Hagen; Benno Stein (2016). Webis-Editorials-16 [Dataset]. http://doi.org/10.5281/zenodo.3254405

Webis-Editorials-16

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12 scholarly articles cite this dataset (View in Google Scholar)
3254405Available download formats
Dataset updated
2016
Dataset provided by
Bauhaus-Universität Weimar
Friedrich Schiller University Jena
Paderborn University
The Web Technology & Information Systems Network
Authors
Steve Göring; Henning Wachsmuth; Johannes Kiesel; 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

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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