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Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
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Same Side Stance Classification Resampled Datasets

Research datakeyboard_double_arrow_right Dataset 09 Sep 2021 English Publisher:Zenodo
Authors: Gregor Wiedemann; Erik Körner; Ahmad Dawar Hakimi; Gerhard Heyer; Martin Potthast;

doi: 10.5281/zenodo.5380988 , 10.5281/zenodo.5380989

Same Side Stance Classification Resampled Datasets

Abstract

The resampled datasets for the Same Side Stance Classification problem used in the EMNLP'21 paper "On Classifying whether Two Texts are on the Same Side of an Argument". The data is based on the publicly available S3C training datasets. The data format is JSONlines. Python Load Example: (for every single task split) import pandas as pd df_cross_dev = pd.read_json("cross_dev.jsonl", lines=True) For details on how the data was compiled, please refer to our code.

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Keywords

Same Side Stance Classification, Computational Argumentation

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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