Data Augmentation for Copy-Mechanism in Dialogue State Tracking
Table 4: The effect of the ϵ on the WoZ dataset with θ=0.5.
['[ITALIC] ϵ', 'search steps', 'overall performance']
We introduce two hyperparameters in our data augmentation algorithm, θ and ϵ. θ is used in the dataset construct function DC(D,n,θ) to control the proportion of new generated values in the train set, and ϵ is used in the terminate condition of the doubling searching to trade off the performance and computational cost. Thus, we could use ϵ to realize a trade-off between performance and computational cost.