(2016), Zhang and Lapata (2017) reformulate this approach in the form of neural encoder-decoder models.
we then chose at most 15 instances for a random selection of modifiers from each band for inclusion in the final dataset, which contains a total of 3632 instances: ROCStories -3026 instances.