Fast Abstractive Summarization With Reinforce Selected Sentence Rewriting
Fast abstractive summarization with reinforce selected sentence rewriting yen chun chen and mohit bansal unc chapel hill fyenchun mbansalg cs unc edu abstract inspired by how humans summarize long documents we propose an accurate and fast summarization model that first selects salient sentences and then rewrites them. Inspired by how humans summarize long documents we propose an accurate and fast summarization model that first selects salient sentences and then rewrites them abstractively i e compresses and paraphrases to generate a concise overall summary.
 Fast Abstractive Summarization With Reinforce Selected Sentence Rewri
  Fast Abstractive Summarization With Reinforce Selected Sentence Rewri  
We use a novel sentence level policy gradient method to bridge the non differentiable computation between these two neural networks in a hierarchical way while maintaining language fluency.

Fast abstractive summarization with reinforce selected sentence rewriting. Abstract inspired by how humans summarize long documents we propose an accurate and fast summarization model that first selects salient sentences and then rewrites them abstractively i e. Inspired by how humans summarize long documents we propose an accurate and fast summarization model that first selects salient sentences and then rewrites them abstractively i e compresses and paraphrases to generate a concise overall summary. Fast abstractive summarization with reinforce selected sentence rewriting yen chun chen and mohit bansal unc chapel hill fyenchun mbansalg cs unc edu abstract inspired by how humans summarize long documents we propose an accurate and fast summarization model that first selects salient sentences and then rewrites them.
Abstract inspired by how humans summarize long documents we propose an accurate and fast summarization model that first selects salient sentences and then rewrites them abstractively i e compresses and paraphrases to generate a concise overall summary. We use a novel sentence level policy gradient method to bridge the non differentiable computation between these two neural networks in a hierarchical way while maintaining language fluency.
 Fast Abstractive Summarization With Reinforce Selected Sentence Rewri
  Fast Abstractive Summarization With Reinforce Selected Sentence Rewri  
 Fast Abstractive Summarization With Reinforce Selected Sentence
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 Fast Abstractive Summarization With Reinforce Selected Sentence Rewri
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 Fast Abstractive Summarization With Reinforce Selected Sentence Rewri
  Fast Abstractive Summarization With Reinforce Selected Sentence Rewri  
 Fast Abstractive Summarization With Reinforce Selected Sentence Rewri
  Fast Abstractive Summarization With Reinforce Selected Sentence Rewri  
 Fast Abstractive Summarization With Reinforce Selected Sentence
  Fast Abstractive Summarization With Reinforce Selected Sentence  
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 Fast Abstractive Summarization With Reinforce Selected Sentence
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 Fast Abstractive Summarization With Reinforce Selected Sentence
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 Fast Abstractive Summarization With Reinforce Selected Sentence
  Fast Abstractive Summarization With Reinforce Selected Sentence  
 Fast Abstractive Summarization With Reinforce Selected Sentence
  Fast Abstractive Summarization With Reinforce Selected Sentence  
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