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Models/ML + RL (Paulus et al., 2017)

ML + RL (Paulus et al., 2017)

Reported on 6 benchmarks across 2 tasks · 1 paper · 2 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Knowledge Base3 results

  • Text SummarizationonCNN / Daily Mail
    ROUGE-L· 2017-05-11
    36.9
    best: 45.35 (Scrambled code + broken (alter))
    SOTA
    A Deep Reinforced Model for Abstractive SummarizationarXiv:1705.04304
  • Text SummarizationonCNN / Daily Mail
    ROUGE-1· 2017-05-11
    39.87
    best: 48.18 (Scrambled code + broken (alter))
    A Deep Reinforced Model for Abstractive SummarizationarXiv:1705.04304
  • Text SummarizationonCNN / Daily Mail
    ROUGE-2· 2017-05-11
    15.82
    best: 24.02 (Pegasus)
    A Deep Reinforced Model for Abstractive SummarizationarXiv:1705.04304

Natural Language Processing3 results

  • Document SummarizationonCNN / Daily Mail
    ROUGE-L· 2017-05-11
    36.9
    best: 45.35 (Scrambled code + broken (alter))
    SOTA
    A Deep Reinforced Model for Abstractive SummarizationarXiv:1705.04304
  • Document SummarizationonCNN / Daily Mail
    ROUGE-1· 2017-05-11
    39.87
    best: 48.18 (Scrambled code + broken (alter))
    A Deep Reinforced Model for Abstractive SummarizationarXiv:1705.04304
  • Document SummarizationonCNN / Daily Mail
    ROUGE-2· 2017-05-11
    15.82
    best: 22.55 (PEGASUS + SummaReranker)
    A Deep Reinforced Model for Abstractive SummarizationarXiv:1705.04304