Automatically Learning Data Augmentation Policies for Dialogue Tasks
Table 1: Activity, Entity F1 results reported by previous work (rows 1-4 from serban2017multiresolution), and the All-operations and AutoAugment models.
['[EMPTY]', 'Activity F1', 'Entity F1']
Automatic Results: Moreover, our input-agnostic AutoAugment is statistically significantly (p<0.01) better (on Activity and Entity F1) than the strong manual-policy All-operations model, while the input-aware model is stat. signif. (p<0.01) better on Activity F1.