1 dataset found

W
Webis-Editorials-16
webis.de
anthology.aicmu.ac.cn
+3more
3254405
Updated 2016
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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
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3254405Available download formats
Unique identifier
https://doi.org/10.5281/zenodo.3254405
Dataset updated
2016
Dataset provided by
Friedrich Schiller University Jena
Bauhaus-Universität Weimar
The Web Technology & Information Systems Network
Leibniz Universität Hannover
University of Groningen
GESIS - Leibniz Institute for the Social Sciences
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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Click to copy link

Link copied

Cite

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

Explore at:

13 scholarly articles cite this dataset (View in Google Scholar)

3254405Available download formats

Unique identifier

https://doi.org/10.5281/zenodo.3254405

Dataset updated

2016

Dataset provided by

Friedrich Schiller University Jena
Bauhaus-Universität Weimar
The Web Technology & Information Systems Network
Leibniz Universität Hannover
University of Groningen
GESIS - Leibniz Institute for the Social Sciences

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.