Neural Summarization by Extracting Sentences and Words

@article{Cheng2016NeuralSB,
  title={Neural Summarization by Extracting Sentences and Words},
  author={Jianpeng Cheng and Mirella Lapata},
  journal={ArXiv},
  year={2016},
  volume={abs/1603.07252}
}
Traditional approaches to extractive summarization rely heavily on humanengineered features. [...] Key Method We train our models on large scale corpora containing hundreds of thousands of document-summary pairs 1 . Experimental results on two summarization datasets demonstrate that our models obtain results comparable to the state of the art without any access to linguistic annotation.Expand
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