Corpus ID: 54448559

Neural Abstractive Text Summarization with Sequence-to-Sequence Models

@article{Shi2018NeuralAT,
  title={Neural Abstractive Text Summarization with Sequence-to-Sequence Models},
  author={Tian Shi and Yaser Keneshloo and Naren Ramakrishnan and C. Reddy},
  journal={ArXiv},
  year={2018},
  volume={abs/1812.02303}
}
  • Tian Shi, Yaser Keneshloo, +1 author C. Reddy
  • Published 2018
  • Computer Science, Mathematics
  • ArXiv
  • In the past few years, neural abstractive text summarization with sequence-to-sequence (seq2seq) models have gained a lot of popularity. [...] Key Method Many models were first proposed for language modeling and generation tasks, such as machine translation, and later applied to abstractive text summarization. Therefore, we also provide a brief review of these models.Expand Abstract
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