Dataset Open Access

Webis-Argument-Framing-19

Yamen Ajjour; Milad Alshomary; Henning Wachsmuth; Benno Stein


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.3598315", 
  "title": "Webis-Argument-Framing-19", 
  "issued": {
    "date-parts": [
      [
        2019, 
        8, 
        21
      ]
    ]
  }, 
  "abstract": "<p>The dataset comprises 12,326 arguments that are labeled cover 465 topics and 1623 frames. The following fields are stored for each argument</p>\n\n<p>conclusion, premise, frame, topic, stance, argument_id, topic_id, frame_id</p>\n\n<p>For more information please refer to our paper &quot;Modeling Frames in Argumentation&quot;.</p>\n\n<p>&nbsp;</p>", 
  "author": [
    {
      "family": "Yamen Ajjour"
    }, 
    {
      "family": "Milad Alshomary"
    }, 
    {
      "family": "Henning Wachsmuth"
    }, 
    {
      "family": "Benno Stein"
    }
  ], 
  "id": "3598315", 
  "note": "If you use the dataset please cite our paper:\n@InProceedings{stein:2019q,\n  author =              {Yamen Ajjour and Milad Alshomary and Henning Wachsmuth and Benno Stein},\n  booktitle =           {2019 Conference on Empirical Methods in Natural Language Processing and 9th Internationl Joint Conference on Natural Language Processing (EMNLP 2019)},\n  doi =                 {},\n  month =               nov,\n  publisher =           {ACL},\n  site =                {Hong Kong},\n  title =               {{Modeling Frames in Argumentation}},\n  url =                 {},\n  year =                2019\n}", 
  "event-place": "Hong Kong, China", 
  "type": "dataset", 
  "event": "2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP2019)"
}
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