Variational Hierarchical Dialog Autoencoder for Dialog State Tracking Data Augmentation
Table 4: Results on language quality and diversity evaluation.
['Model', 'WoZ2.0 ROUGE', 'WoZ2.0 Ent', 'DSTC2 ROUGE', 'DSTC2 Ent']
To understand the effect of joint learning of various dialog features on language generation, we compare our model with a model that only learns linguistic features. This supports the idea that joint learning of dialog annotations improves utterance generation, thereby increasing the chance of generating novel samples that improve the downstream trackers.