(2018) trained an abstractive sentence compression model using attention-based sequence-to-sequence architecture (Rush et al., 2015) to map a sentence in the document selected by the extractive model to a sentence in the summary.
as the sentences in the document and in the summary are not aligned for compression, their compression model is significantly inferior to the extractive model.