Variational Hierarchical Dialog Autoencoder for Dialog State Tracking Data Augmentation
Table 2: Comparison of data augmentation results between VHDA with and without explicit goal tracking.
['VHDA', 'Tracker', 'WoZ2.0 Goal', 'WoZ2.0 Req', 'DSTC2 Goal', 'DSTC2 Req']
The Effect of Joint Goal Tracking. Since user goals can be inferred from turn-level inform-type dialog acts, it may seem redundant to incorporate goal modeling into our model. To verify its effectiveness, we train a variant of VHDA, where the goal-tracking latents are removed from the generator. We conjecture that explicit goal tracking helps the model to reinforce long-term goals of the dialog participants; however, the model does so in the minor expense of short-term state tracking, which exhibits as less effective request tracking.