Show Us the Way: Learning to Manage Dialog from Demonstrations
Table 2: BLEU-4 results of NLG modules trained and tested on MultiWOZ.
['[EMPTY]', 'BLEU-4']
The trainable systems were trained on the MultiWOZ training data. It can be clearly seen that the attention-based seq-2-seq architecture is able to out-perform the two competitor systems in terms of BLEU-4. While both neural systems beat the template-based baseline by a large margin, seq-2-seq further improves upon the SC-LSTM approach by almost 10 BLEU points.