It has been recently formulated as a Seq2Seq learning problem in (Rush et al., 2015;Hu et al., 2015), which essentially gives abstractive summarization since the summary is generated based on a representation of the document.
extractive summarization extracts sentences or phrases from the original text to fuse them into the summaries, therefore making better use of the overall structure of the original document.