Neural sequence-to-sequence models have led to substantial improvements on this task of abstractive summarization, via machine translation inspired encoder-aligner-decoder approaches, further enhanced via convolutional encoders, pointer-copy mechanisms, and hierarchical attention (Rush et al., 2015;<cite> Nallapati et al., 2016</cite>; See et al., 2017) .