We observe that LexRank tends to extract long and comprehensive sentences that yield high graph centrality; the abstractive pointer-generator networks, despite the promising results, can sometimes fail to generate meaningful summaries (e.g., "a third of all 3-year-olds • • • have been given to a child").
our DPP method is able to select a balanced set of representative and diverse summary sentences.