Papers with sentence-level classification task

1 papers
Fine-Tuned Neural Models for Propaganda Detection at the Sentence and Fragment levels (D19-50)

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Challenge: The system was evaluated on a unified development set without distributing the gold labels.
Approach: They propose to use fine-grained propaganda detection to build models that can explain why an article is propagandistic.
Outcome: The proposed model performed on all eighteen propaganda techniques in the corpus of the shared task.

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