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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 }
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".
framing, computational argumentation, bias
framing, computational argumentation, bias
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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| downloads | 9 |

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