Findings of the NLP4IF-2019 Shared Task on Fine-Grained Propaganda Detection
October 20, 2019 ยท Declared Dead ยท ๐ Conference on Empirical Methods in Natural Language Processing
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Authors
Giovanni Da San Martino, Alberto Barrรณn-Cedeรฑo, Preslav Nakov
arXiv ID
1910.09982
Category
cs.CL: Computation & Language
Cross-listed
cs.SI
Citations
85
Venue
Conference on Empirical Methods in Natural Language Processing
Last Checked
4 months ago
Abstract
We present the shared task on Fine-Grained Propaganda Detection, which was organized as part of the NLP4IF workshop at EMNLP-IJCNLP 2019. There were two subtasks. FLC is a fragment-level task that asks for the identification of propagandist text fragments in a news article and also for the prediction of the specific propaganda technique used in each such fragment (18-way classification task). SLC is a sentence-level binary classification task asking to detect the sentences that contain propaganda. A total of 12 teams submitted systems for the FLC task, 25 teams did so for the SLC task, and 14 teams eventually submitted a system description paper. For both subtasks, most systems managed to beat the baseline by a sizable margin. The leaderboard and the data from the competition are available at http://propaganda.qcri.org/nlp4if-shared-task/.
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