Furthermore, recent sophisticated neural models for extractive summarization (Cheng and Lapata, 2016;Nallapati et al., 2017) basically require large-scale paired data (e.g., article-headline) to automatically label candidates, as manual annotation is very costly.
we further randomly divided the uninformative group into two equal groups: changed and unchanged.