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Neural Architectures for Fine Grained Propaganda Detection in News

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Table 1: Features used in SLC and FLC tasks
Figure 1: (Left): System description for SLC, including features, transfer learning using pre-trained word embed-dings from FastText and BERT and classifiers: LogisticRegression, CNN and BERT fine-tuning
Table 3: SLC: Scores on Dev (internal) of Fold1 andDev (external) using different classifiers and features.
Table 5: Hyper-parameter settings for FLC task. * de-notes the optimal parameters.

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