1. The description of the metrics is limited. it would be desirable to have an explanation of the metrics used in the paper. Or at least a citation to the metrics would have been good.
2. The training objective in Equation 7 would increase the likelihood of negative cases as well resulting in unwanted behavior. Should the objective be: \mathcal{L}_{c} - \mathcal{L}_{w}?
3. The paper needs a bit of polishing as at times equations are clubbed together. The equations in Sections 4 and 5 can be clubbed together while introducing them.
4. The paper motivates by the fact that we need to generate multiple sequences during the test time and progress to get rid of them. However, ASPIRE generates multiple answers during the training phase. This should be explicitly mentioned in the paper as it directly conflicts with the claim of not generating multiple sequences.
5. A bit more analysis on the impact of the number of model parameters is warranted.
1. The description of the metrics is limited. it would be desirable to have an explanation of the metrics used in the paper. Or at least a citation to the metrics would have been good.