Augmenting Data for Sarcasm Detection with Unlabeled Conversation Context
Table 5: Sarcasm detection performance according to data augmentation on the twittervalid dataset.
['[ITALIC] twittervalid', 'Precision', 'Recall', 'F1']
Data Augmentation. The augmentation with labeled data increases the F1 score from 0.854 to 0.861. The augmentation with unlabeled data further enhances performance from 0.861 to 0.897. The results demonstrate that both augmentation techniques help with the performance.