With respect to the predictor component in the proposed model, we use an encoder-decoder architecture modeled by recurrent neural networks (Kim et al., 2016) based on recent neural extractive summarization approaches (Cheng and Lapata, 2016;Nallapati et al., 2017).
our summarization framework is applicable to all models of sentence extraction using distributed representation as inputs.