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Models/transformers

transformers

Reported on 12 benchmarks across 2 tasks

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

Natural Language Processing12 results

  • Word Sense DisambiguationonWiC-TSV
    Task 1 Accuracy: all
    77.8
  • Word Sense DisambiguationonWiC-TSV
    Task 1 Accuracy: domain specific
    81
  • Word Sense DisambiguationonWiC-TSV
    Task 1 Accuracy: general purpose
    75.2
  • Word Sense DisambiguationonWiC-TSV
    Task 3 Accuracy: all
    71.9
    best: 85.3 (Human)
  • Word Sense DisambiguationonWiC-TSV
    Task 3 Accuracy: domain specific
    65.7
    best: 89.2 (Human)
  • Word Sense DisambiguationonWiC-TSV
    Task 3 Accuracy: general purpose
    77
    best: 82.1 (Human)
  • Entity LinkingonWiC-TSV
    Task 1 Accuracy: all
    77.8
  • Entity LinkingonWiC-TSV
    Task 1 Accuracy: domain specific
    81
  • Entity LinkingonWiC-TSV
    Task 1 Accuracy: general purpose
    75.2
  • Entity LinkingonWiC-TSV
    Task 3 Accuracy: all
    71.9
    best: 85.3 (Human)
  • Entity LinkingonWiC-TSV
    Task 3 Accuracy: domain specific
    65.7
    best: 89.2 (Human)
  • Entity LinkingonWiC-TSV
    Task 3 Accuracy: general purpose
    77
    best: 82.1 (Human)