Efficient Context and Schema Fusion Networks for Multi-Domain Dialogue State Tracking
Table 2: Ablation studies for context information on MultiWOZ 2.1.
['Models', 'Joint Acc. (%)']
It would be interesting to know whether the two kinds of context information are also essential for the RNN-based value decoder. The results show both of them are crucial for generating real values. Do we need more context? Only the current dialogue utterance is utilized in our model, which would be more efficient than the previous methods involving all the preceding dialogue utterance. However, we want to ask whether the performance will be improved when more context is used.