 First, SEG-Net incorporates a novel \emph{layer-wise} coverage attention to summarize most of the points discussed in the target document. Second, it uses an\emph{informed copy attention mechanism to encourage focusing on different segments of the document during keyphrase extraction and generation.
<clarity>  First, SEG-Net incorporates a novel \emph{layer-wise} coverage attention to summarize most of the points discussed in the target document. Second, it uses an\emph{informed copy attention mechanism to encourage focusing on different segments of the document during keyphrase extraction and generation.
 First, SEG-Net incorporates a novel \emph{layer-wise} coverage attention to summarize most of the points discussed in the \emph{informed copy attention mechanism to encourage focusing on different segments of the document during keyphrase extraction and generation.