In training, since salient spans are not explicitly available, we treat them as a latent variable, and jointly learn the two networks from article-comment pairs by optimizing a lower bound of the true objective through a Monte Carlo sampling method.
training errors in comment prediction can be back-propagated to span selection and used to supervise news reading comprehension.