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Dataset Open Access

Webis-Argument-Framing-19

Yamen Ajjour; Milad Alshomary; Henning Wachsmuth; Benno Stein


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  <identifier identifierType="DOI">10.5281/zenodo.3373510</identifier>
  <creators>
    <creator>
      <creatorName>Yamen Ajjour</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-7571-5383</nameIdentifier>
      <affiliation>Bauhaus Universität Weimar</affiliation>
    </creator>
    <creator>
      <creatorName>Milad Alshomary</creatorName>
      <affiliation>Paderborn University</affiliation>
    </creator>
    <creator>
      <creatorName>Henning Wachsmuth</creatorName>
      <affiliation>Paderborn University</affiliation>
    </creator>
    <creator>
      <creatorName>Benno Stein</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-9033-2217</nameIdentifier>
      <affiliation>Bauhaus Universität Weimar</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Webis-Argument-Framing-19</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2019</publicationYear>
  <subjects>
    <subject>framing, computational argumentation, bias</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2019-08-21</date>
  </dates>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3373510</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3373355</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/webis</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;The dataset comprises 12,326 arguments that are labeled with their topics and 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;</description>
    <description descriptionType="Other">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
}</description>
  </descriptions>
</resource>
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