Show Us the Way: Learning to Manage Dialog from Demonstrations
Table 1: Evaluation results of NLU modules trained and tested on MultiWOZ. Reported scores are Precision, Recall, and F1-Score.
['[EMPTY]', 'Prec', 'Rec', 'F1']
NLU on the MultiWOZ test set, as well as ConvLab’s original MILU and OneNet systems. Both MILU-based systems clearly outperform the OneNet NLU, which only achieves around 66% F1-score on the MultiWOZ test set. The differences between the original MILU and our BERT embedding based system are less pronounced however, our approach achieves higher scores on all metrics.