SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents

14 Nov 2016 Ramesh Nallapati FeiFei Zhai Bo-Wen Zhou

We present SummaRuNNer, a Recurrent Neural Network (RNN) based sequence model for extractive summarization of documents and show that it achieves performance better than or comparable to state-of-the-art. Our model has the additional advantage of being very interpretable, since it allows visualization of its predictions broken up by abstract features such as information content, salience and novelty... (read more)

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