Natural Question Generation with Reinforcement Learning Based Graph-to-Sequence Model
Table 1: Automatic evaluation results on the SQuAD test set.
['Methods', 'BLEU-4', 'Split-1 METEOR', 'ROUGE-L', 'Split-2 BLEU-4']
Experimental results and analysis. First of all, our full model G2Ssta+BERT+RL outperforms previous state-of-the-art methods by a great margin. Compared to previous methods like CGC-QG