Modeling Long Context for Task-Oriented Dialogue State Generation
Table 1: Experimental results on the MultiWOZ 2.0 dataset.
['[BOLD] Model', '[BOLD] Joint Accuracy', '[BOLD] Slot Accuracy']
Joint accuracy and slot accuracy are the two metrics we used to evaluate the performance on dialogue state tracking. Our full model (tagging + language modeling) significantly outperforms several previous state-of-the-art models, including TRADE, and achieves new state-of-the-art results, 52.04% of joint accuracy and 97.26% of slot accuracy on the MultiWOZ 2.0. The tagging alone (-LM) can improve the joint accuracy on the MultiWOZ 2.0 by 1.53% while the auxiliary language modeling (-Tagging) by 2.74%.