In addition, we include state-of-the-art models : RegSum BIBREF0 and GCN+PADG BIBREF3. We outperform both in terms of ROUGE-1. For ROUGE-2 scores we achieve better results than GCN+PADG but without any use of domain-specific hand-crafted features and a much smaller and simpler model. Finally, RegSum achieves a similar ROUGE-2 score but computes sentence saliences based on word scores, incorporating a rich set of word-level and domain-specific features. 
 Question: How better are state-of-the-art results than this model? 
we achieve better results than GCN+PADG but without any use of domain-specific hand-crafted features  RegSum achieves a similar ROUGE-2 score