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8 datasets found
  1. Webis-Editorials-16

    • webis.de
    • zenodo.org
    Updated 2016
  2. Reach of Heat magazine in Great Britain 2019, by demographic

    • www.statista.com
    Updated Dec 16, 2019
  3. g

    World Register of Marine Species

    • www.gbif.org
    Updated Jan 7, 2020
  4. f

    What does the media say about palliative care? A descriptive study of news...

    • plos.figshare.com
    Updated Oct 3, 2017
  5. r

    Call for papers

    • www.researchgate.net
    Updated Jan 24, 2014
  6. t

    Aphrodisias in Late Antiquity: The Late Roman and Byzantine Inscriptions

    • datahub.io
    • datahub.ckan.io
    • +1more
    Updated Oct 10, 2013
  7. r

    Tony Chalcraft, review of Spencer C. Tucker, Priscilla Roberts, et al.,...

    • www.researchgate.net
    Updated Jul 1, 2006
  8. a

    Coastalwatch: Coastal Condition Monitoring System - Ballina

    • researchdata.ands.org.au
    Updated Aug 22, 2007
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Webis-Editorials-16

5 scholarly articles cite this dataset (View in Google Scholar)
  • Dataset updated 2016
Dataset provided by
Bauhaus University, Weimarhttp://www.uni-weimar.de/
The Web Technology & Information Systems Network
Authors
Wachsmuth, Henning; Kiesel, Johannes; Al-Khatib, Khalid; Hagen, Matthias; Stein, Benno; Göring, Steve
License

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

Available download formats from providers
xmi
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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