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Models/BERTSUM+Transformer

BERTSUM+Transformer

Reported on 6 benchmarks across 2 tasks · 1 paper · 6 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-1· uses extra data· 2019-03-25
    43.25
    best: 48.18 (Scrambled code + broken (alter))
    SOTA
    Fine-tune BERT for Extractive SummarizationarXiv:1903.10318
  • Text SummarizationonCNN / Daily Mail
    ROUGE-2· uses extra data· 2019-03-25
    20.24
    best: 24.02 (Pegasus)
    SOTA
    Fine-tune BERT for Extractive SummarizationarXiv:1903.10318
  • Text SummarizationonCNN / Daily Mail
    ROUGE-L· uses extra data· 2019-03-25
    39.63
    best: 45.35 (Scrambled code + broken (alter))
    SOTA
    Fine-tune BERT for Extractive SummarizationarXiv:1903.10318

Natural Language Processing3 results

  • Document SummarizationonCNN / Daily Mail
    ROUGE-1· uses extra data· 2019-03-25
    43.25
    best: 48.18 (Scrambled code + broken (alter))
    SOTA
    Fine-tune BERT for Extractive SummarizationarXiv:1903.10318
  • Document SummarizationonCNN / Daily Mail
    ROUGE-2· uses extra data· 2019-03-25
    20.24
    best: 22.55 (PEGASUS + SummaReranker)
    SOTA
    Fine-tune BERT for Extractive SummarizationarXiv:1903.10318
  • Document SummarizationonCNN / Daily Mail
    ROUGE-L· uses extra data· 2019-03-25
    39.63
    best: 45.35 (Scrambled code + broken (alter))
    SOTA
    Fine-tune BERT for Extractive SummarizationarXiv:1903.10318