Multi-Task Learning with Language Modeling for Question Generation
Table 2: Perplexity and distinct of different setting models on two datasets
['[BOLD] Dataset  [BOLD] Model', '[BOLD] SQuAD  [BOLD] perplexity', '[BOLD] SQuAD  [BOLD] distinct-1', '[BOLD] SQuAD  [BOLD] distinct-2', '[BOLD] MARCO  [BOLD] perplexity', '[BOLD] MARCO  [BOLD] distinct-1', '[BOLD] MARCO  [BOLD] distinct-2']
Perplexity and Diversity Since BLEU only measures a hard matching between references and generated text, we further adopt perplexity and distinct Li et al. Besides, the generated questions have better diversity.