Multi-turn Dialogue Response Generation in an Adversarial Learning Framework
Table 4: Generator Performance: HRED, HRED+Attn and hredGAN without noise
['Model', 'Teacher Forcing Perplexity', 'Autoregression BLEU-2', 'Autoregression ROUGE-2', 'Autoregression DISTINCT-1/2', 'Autoregression NASL']
Addition of The addition of attention also shows strong performance at autoregressive inference across multiple metrics as well as an observed improvement in response quality. Hence the decision for the modified HRED generator.