NLPDove at SemEval-2020 Task 12: Improving Offensive Language Detection with Cross-lingual Transfer
Table 4: Results of data augmentation from semi-supervised labels. F1 scores are measured over the validation split of English data.
['Threshold OFF', 'Threshold NOT', 'Threshold std', 'Additional data size', 'Macro F1']
Although varying the threshold resulted in additional data of different qualities and sizes, the difference in results was marginal. When about 30K samples were added with cut-off values of toff=0.8,tnot=0.2,tstd=0.125, we observed a small performance gain compared to others. In our final ensemble model, we included the models that performed better than the baseline which was trained solely on the human-annotated dataset.