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Models/CTLR

CTLR

Reported on 18 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 Processing18 results

  • Word Sense DisambiguationonWiC-TSV
    Task 1 Accuracy: all
    76.8
    best: 77.8 (transformers)
  • Word Sense DisambiguationonWiC-TSV
    Task 1 Accuracy: domain specific
    79.6
    best: 81 (transformers)
  • Word Sense DisambiguationonWiC-TSV
    Task 1 Accuracy: general purpose
    74.5
    best: 75.2 (transformers)
  • Word Sense DisambiguationonWiC-TSV
    Task 2 Accuracy: all
    72.7
  • Word Sense DisambiguationonWiC-TSV
    Task 2 Accuracy: domain specific
    81.5
  • Word Sense DisambiguationonWiC-TSV
    Task 2 Accuracy: general purpose
    65.6
    best: 68.6 (Bert-base)
  • Word Sense DisambiguationonWiC-TSV
    Task 3 Accuracy: all
    78.3
    best: 85.3 (Human)
  • Word Sense DisambiguationonWiC-TSV
    Task 3 Accuracy: domain specific
    85.7
    best: 89.2 (Human)
  • Word Sense DisambiguationonWiC-TSV
    Task 3 Accuracy: general purpose
    72.1
    best: 82.1 (Human)
  • Entity LinkingonWiC-TSV
    Task 1 Accuracy: all
    76.8
    best: 77.8 (transformers)
  • Entity LinkingonWiC-TSV
    Task 1 Accuracy: domain specific
    79.6
    best: 81 (transformers)
  • Entity LinkingonWiC-TSV
    Task 1 Accuracy: general purpose
    74.5
    best: 75.2 (transformers)
  • Entity LinkingonWiC-TSV
    Task 2 Accuracy: all
    72.7
  • Entity LinkingonWiC-TSV
    Task 2 Accuracy: domain specific
    81.5
  • Entity LinkingonWiC-TSV
    Task 2 Accuracy: general purpose
    65.6
    best: 68.6 (Bert-base)
  • Entity LinkingonWiC-TSV
    Task 3 Accuracy: all
    78.3
    best: 85.3 (Human)
  • Entity LinkingonWiC-TSV
    Task 3 Accuracy: domain specific
    85.7
    best: 89.2 (Human)
  • Entity LinkingonWiC-TSV
    Task 3 Accuracy: general purpose
    72.1
    best: 82.1 (Human)