Generating Questions for Knowledge Bases via Incorporating Diversified Contexts and Answer-Aware Loss
Table 3: Performances on answer coverage, where “Anscov” denotes the metric of answer coverage. “λ” is the weight of the answer-aware loss in Equation 16.
['Model', '[ITALIC] λ', 'BLEU4', 'Anscov']
It can be seen that our model, incorporating answer-aware loss, has a significant improvement on answer coverage while there is no performance degradation on BLEU4 compared with λ=0, which indicates that answer-aware loss contributes to generating better questions. Especially, the generated questions are more precise because they refer to more definitive answers with high Anscov.