BPGC at SemEval-2020 Task 11: Propaganda Detection in News Articles with Multi-Granularity Knowledge Sharing and Linguistic Features based Ensemble Learning
Table 2: Results for the Technique Classification sub-task on the development set and validation split (*Final submission)
['[BOLD] Model', '[BOLD] Validation Split  [BOLD] Micro F1', '[BOLD] Validation Split  [BOLD] Macro F1', '[BOLD] Development Set  [BOLD] Micro F1', '[BOLD] Development Set  [BOLD] Macro F1']
For the technique-classification sub-task, our system ranks 18th with a micro-F1 score of 0.54 on the final test-set. Since this is an imbalanced multi-class classification task, we also report our models’ macro F1 scores to test the generalization of our proposed systems across all the propaganda techniques. Macro averaging gives equal importance to all classes.