Before revision:  Models trained on the augmented (original and revised) data have been shown to rely less on semantically irrelevant words and to generalize better out-of-domain .
After revision:  Models trained on the augmented data appear, empirically, to rely less on semantically irrelevant words and to generalize better out-of-domain .