Dataset Open Access

Webis-Argument-Framing-19

Yamen Ajjour; Milad Alshomary; Henning Wachsmuth; Benno Stein


MARC21 XML Export

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    <subfield code="a">framing, computational argumentation, bias</subfield>
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    <subfield code="a">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
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    <subfield code="a">2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing</subfield>
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    <subfield code="u">Paderborn University</subfield>
    <subfield code="a">Milad Alshomary</subfield>
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    <subfield code="u">Paderborn University</subfield>
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    <subfield code="u">Bauhaus Universität Weimar</subfield>
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    <subfield code="a">Yamen Ajjour</subfield>
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    <subfield code="a">&lt;p&gt;The dataset comprises 12,326 arguments that are labeled cover 465 topics and 1623 frames. The following fields are stored for each argument&lt;/p&gt;

&lt;p&gt;conclusion, premise, frame, topic, stance, argument_id, topic_id, frame_id&lt;/p&gt;

&lt;p&gt;For more information please refer to our paper &amp;quot;Modeling Frames in Argumentation&amp;quot;.&lt;/p&gt;

&lt;p&gt;&amp;nbsp;&lt;/p&gt;</subfield>
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