Generating Safe Diversity in nlg via Imitation Learning
Table 5: Human Evaluation results for texts always sampling the last word of the reduced sample pool.
['[EMPTY]', 'Fluency  [ITALIC] raw', 'Fluency  [ITALIC] z-score', 'Adequacy  [ITALIC] raw', 'Adequacy  [ITALIC] z-score']
Again most configurations show no statistically significant difference between them, with the exception of lols and Nucleus on fluency.