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Models/Table-to-Text

Table-to-Text

Reported on 9 benchmarks across 1 task · 1 paper · 1 SOTA

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

Adversarial9 results

  • Text GenerationonWebEdit
    Precision· 2020-07-02
    98.23
    SOTA
    Fact-based Text EditingarXiv:2007.00916
  • Text GenerationonWebEdit
    ADD· 2020-07-02
    27.86
    best: 47.69 (FactEditor)
    Fact-based Text EditingarXiv:2007.00916
  • Text GenerationonWebEdit
    BLEU· 2020-07-02
    33.75
    best: 75.68 (FactEditor)
    Fact-based Text EditingarXiv:2007.00916
  • Text GenerationonWebEdit
    DELETE· 2020-07-02
    0.5219
    best: 0.7707 (FactEditor)
    Fact-based Text EditingarXiv:2007.00916
  • Text GenerationonWebEdit
    Exact Match· 2020-07-02
    5.78
    best: 24.8 (FactEditor)
    Fact-based Text EditingarXiv:2007.00916
  • Text GenerationonWebEdit
    F1· 2020-07-02
    90.4
    best: 93.17 (FactEditor)
    Fact-based Text EditingarXiv:2007.00916
  • Text GenerationonWebEdit
    KEEP· 2020-07-02
    0.5144
    best: 0.9184 (FactEditor)
    Fact-based Text EditingarXiv:2007.00916
  • Text GenerationonWebEdit
    Recall· 2020-07-02
    83.72
    best: 89.74 (FactEditor)
    Fact-based Text EditingarXiv:2007.00916
  • Text GenerationonWebEdit
    SARI· 2020-07-02
    43.83
    best: 72.2 (FactEditor)
    Fact-based Text EditingarXiv:2007.00916