Yamen Ajjour
Milad Alshomary
Henning Wachsmuth
Benno Stein
2019-08-21
<p>The dataset comprises 12,327 arguments that are labeled with their topics and frames. The following fields are stored for each argument</p>
<p>conclusion, premise, frame, topic, stance, argument_id, topic_id, frame_id</p>
<p>For more information please refer to our paper "Modeling Frames in Argumentation".</p>
<p> </p>
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
}
https://doi.org/10.5281/zenodo.3373356
oai:zenodo.org:3373356
Zenodo
https://zenodo.org/communities/webis
https://doi.org/10.5281/zenodo.3373355
info:eu-repo/semantics/restrictedAccess
EMNLP2019, 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Hong Kong, China, 03-07 November
framing, computational argumentation, bias
Webis-argument-framing
info:eu-repo/semantics/other