Benefiting from the success of neural sequence models in other NLP tasks, Cheng and Lapata (2016) propose a novel approach to extractive summarization based on neural networks and continuous sentence features, which outperforms traditional methods on the Dai-lyMail dataset.
and the improvement is even greater when we only consider long documents.