Few-shot Natural Language Generation for Task-Oriented Dialog
Table 5: Performance on MultiWOZ
['Model', 'Entity F1', 'BLEU']
Following Chen et al. Again, SC-GPT achieves the best performance on BLEU score. Note that GPT-2 performs similarly with SC-GPT on the full MultiWOZ dataset, this is because MultiWOZ contains 57k utterances, which is large enough for GPT-2 to achieve good performance. The results also confirm that with enough annotated data, conditional language model formulation performs significantly better than HDSA, a strong competitor that leverages graph/tree-structure information to encode dialog acts.