TasksSotADatasetsPapersMethodsSubmitAbout
Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable BenchmarksAll SotADatasetsPapersMethods

Community

Submit ResultsAbout

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/UniLM (Abstractive Summarization)

UniLM (Abstractive Summarization)

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.

Natural Language Processing3 results

  • Document SummarizationonCNN / Daily Mail
    ROUGE-2· uses extra data· 2019-05-08
    20.43
    best: 22.55 (PEGASUS + SummaReranker)
    SOTA
    Unified Language Model Pre-training for Natural Language Understanding and GenerationarXiv:1905.03197
  • Document SummarizationonCNN / Daily Mail
    ROUGE-L· uses extra data· 2019-05-08
    40.34
    best: 45.35 (Scrambled code + broken (alter))
    SOTA
    Unified Language Model Pre-training for Natural Language Understanding and GenerationarXiv:1905.03197
  • Document SummarizationonCNN / Daily Mail
    ROUGE-1· uses extra data· 2019-05-08
    43.08
    best: 48.18 (Scrambled code + broken (alter))
    Unified Language Model Pre-training for Natural Language Understanding and GenerationarXiv:1905.03197

Knowledge Base3 results

  • Text SummarizationonCNN / Daily Mail
    ROUGE-1· uses extra data· 2019-05-08
    43.08
    best: 48.18 (Scrambled code + broken (alter))
    Unified Language Model Pre-training for Natural Language Understanding and GenerationarXiv:1905.03197
  • Text SummarizationonCNN / Daily Mail
    ROUGE-2· uses extra data· 2019-05-08
    20.43
    best: 24.02 (Pegasus)
    Unified Language Model Pre-training for Natural Language Understanding and GenerationarXiv:1905.03197
  • Text SummarizationonCNN / Daily Mail
    ROUGE-L· uses extra data· 2019-05-08
    40.34
    best: 45.35 (Scrambled code + broken (alter))
    Unified Language Model Pre-training for Natural Language Understanding and GenerationarXiv:1905.03197