Dataset Open Access
Webis-Argument-Framing-19
Yamen Ajjour;
Milad Alshomary;
Henning Wachsmuth;
Benno Stein
The dataset comprises 12,326 arguments that are labeled cover 465 topics and 1623 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".
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
}
Files
(2.0 MB)
| Name | Size | |
|---|---|---|
|
Webis-argument-framing.zip
md5:780ce21ccd4c596673923badc3a717cf |
2.0 MB | Download |
649
301
views
downloads
| All versions | This version | |
|---|---|---|
| Views | 649 | 367 |
| Downloads | 301 | 269 |
| Data volume | 602.9 MB | 538.9 MB |
| Unique views | 569 | 322 |
| Unique downloads | 251 | 221 |
Indexed in
- Publication date:
- August 21, 2019
- DOI:
-
- Keyword(s):
- framing, computational argumentation, bias
- Meeting:
- 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP2019), Hong Kong, China, 03-07 November, 2019
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International