We observe that only 42% of goldstandard summary bigrams appear in the source documents, serving as a cap for edge prediction.
we also compare multiple source sentence selection strategies to group source sentences into clusters covering various aspects of the topic; • we conduct extensive experiments on benchmark summarization datasets, and contrast our work with state-of-the-art baselines, including the pointer-generator networks (See et al., 2017).