Domain-Aware Dialogue State Tracker forMulti-Domain Dialogue Systems
Table 5: Performance on the complete test set of the dataset (both single and multi-domain dialogues). * indicates models trained with only single domain dialogues, while + denotes models trained with both single and multi domain dialogues.
['[EMPTY]', '[BOLD] Int. Acc', '[BOLD] Req. F1', '[BOLD] Avg. GA', '[BOLD] Jnt. GA']
Again, we notice the same pattern, proving that our approach of integrating domain and slot representation to learn better representation for the input sequence is helpful in improving the models performance.