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Dataset Open Access


Yamen Ajjour; Milad Alshomary; Henning Wachsmuth; Benno Stein

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<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc="" xmlns:oai_dc="" xmlns:xsi="" xsi:schemaLocation="">
  <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:description>The dataset comprises 12,326 arguments that are labeled with their topics and 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>If you use the dataset please cite our paper:
  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:subject>framing, computational argumentation, bias</dc:subject>
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