Neural Language Model Based Training Data Augmentation for Weakly Supervised Early Rumor Detection

16 Jul 2019Sooji HanJie GaoFabio Ciravegna

The scarcity and class imbalance of training data are known issues in current rumor detection tasks. We propose a straight-forward and general-purpose data augmentation technique which is beneficial to early rumor detection relying on event propagation patterns... (read more)

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