We compare our system with a number of strong summarization baselines (Table 1 and 2).
sumBasic (Vanderwende et al., 2007) is an extractive approach assuming words occurring fre- Opinosis (Ganesan et al., 2010) 25.15 5.12 8.12 Extract+Rewrite  29.07 6.11 9.20 Pointer-Gen (see et al., 2017) 31.44 6.40 10.20 sumBasic (Vanderwende et al., 2007) 31.58 6.06 10.06 KLsumm (Haghighi et al., 2009) 31.23 7.07 10.56 LexRank (Erkan and Radev, 2004) 33.10 7.50 11.13 DPP (Kulesza and Taskar, 2011)   quently in a document cluster are more likely to be included in the summary; KL-sum (Haghighi and Vanderwende, 2009) is a greedy approach adding a sentence to the summary to minimize KL divergence; and LexRank (Erkan and Radev, 2004) is a graph-based approach computing sentence importance based on eigenvector centrality.