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uFACT: Unfaithful Alien-Corpora Training for Semantically Consistent Data-to-Text Generation
Our approach is to augment the training set of a given target corpus with alien corpora which have different semantic representations.
Grounding Description-Driven Dialogue State Trackers with Knowledge-Seeking Turns
Schema-guided dialogue state trackers can generalise to new domains without further training, yet they are sensitive to the writing style of the schemata.
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