Dataset Open Access

Webis-Argument-Framing-19

Yamen Ajjour; Milad Alshomary; Henning Wachsmuth; Benno Stein


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<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:creator>Yamen Ajjour</dc:creator>
  <dc:creator>Milad Alshomary</dc:creator>
  <dc:creator>Henning Wachsmuth</dc:creator>
  <dc:creator>Benno Stein</dc:creator>
  <dc:date>2019-08-21</dc:date>
  <dc:description>The dataset comprises 12,326 arguments that are labeled cover 465 topics and 1623 frames. The following fields are stored for each argument

conclusion, premise, frame, topic, stance, argument_id, topic_id, frame_id

For more information please refer to our paper "Modeling Frames in Argumentation".

 </dc:description>
  <dc:description>If you use the dataset please cite our paper:
@InProceedings{stein:2019q,
  author =              {Yamen Ajjour and Milad Alshomary and Henning Wachsmuth and Benno Stein},
  booktitle =           {2019 Conference on Empirical Methods in Natural Language Processing and 9th Internationl Joint Conference on Natural Language Processing (EMNLP 2019)},
  doi =                 {},
  month =               nov,
  publisher =           {ACL},
  site =                {Hong Kong},
  title =               {{Modeling Frames in Argumentation}},
  url =                 {},
  year =                2019
}</dc:description>
  <dc:identifier>https://zenodo.org/record/3598315</dc:identifier>
  <dc:identifier>10.5281/zenodo.3598315</dc:identifier>
  <dc:identifier>oai:zenodo.org:3598315</dc:identifier>
  <dc:relation>doi:10.5281/zenodo.3373355</dc:relation>
  <dc:relation>url:https://zenodo.org/communities/webis</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:subject>framing, computational argumentation, bias</dc:subject>
  <dc:title>Webis-Argument-Framing-19</dc:title>
  <dc:type>info:eu-repo/semantics/other</dc:type>
  <dc:type>dataset</dc:type>
</oai_dc:dc>
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