Despite re- cent advancements and tremendous research activity in semi-supervised learning and domain adaptation, the deep SLU models still require massive amounts of labelled data to train.
data augmentation for SLU becomes appealing, and it needs three kinds of capabilities: • Expression diversity: There are always various expressions for the same semantic meaning.