Generating Questions for Knowledge Bases via Incorporating Diversified Contexts and Answer-Aware Loss
Table 1: Overall comparisons on the test data, where “ans_loss” represents answer-aware loss.
['Model', 'BLEU4', 'ROUGE [ITALIC] L', 'METEOR']
It is evident that our model is remarkably better than baselines on all metrics, where the BLEU4 score increases 4.53 compared with the strongest baseline Elsahar et al.