Large-Scale Multi-Domain Belief Tracking with Knowledge Sharing
Table 1: WOZ 2.0 and new dataset test set accuracies of the NBT-CNN and the two variants of the proposed model, for slots food, price range, area and joint goals.
['[BOLD] Slot', 'WOZ 2.0  [BOLD] NBT-CNN', 'WOZ 2.0  [BOLD] Bi-LSTM', 'WOZ 2.0  [BOLD] CNN', 'New WOZ (only restaurants)  [BOLD] NBT-CNN', 'New WOZ (only restaurants)  [BOLD] Bi-LSTM', 'New WOZ (only restaurants)  [BOLD] CNN']
Our model outperforms NBT in all the three slots and the joint goals for the two datasets. NBT previously achieved state-of-the-art results Mrkšić et al. Moreover, the performance of all models is worse on the new dataset for restaurant compared to WOZ 2.0. This is because the dialogues in the new dataset are richer and more noisier, as a closer resemblance to real environment dialogues.