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Models/Ditto

Ditto

Reported on 16 benchmarks across 2 tasks · 2 papers · 12 SOTA

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

Knowledge Base8 results

  • Data IntegrationonAbt-Buy
    F1 (%)· 2020-04-01
    89.33
    best: 95.78 (gpt4-0613_zeroshot)
    SOTA
    Deep Entity Matching with Pre-Trained Language ModelsarXiv:2004.00584
  • Data IntegrationonWDC Computers-xlarge
    F1 (%)· 2020-04-01
    95.45
    best: 98.33 (RoBERTa-SupCon)
    SOTA
    Deep Entity Matching with Pre-Trained Language ModelsarXiv:2004.00584
  • Data IntegrationonWDC Watches-small
    F1 (%)· 2020-04-01
    85.12
    best: 94 (HG)
    SOTA
    Deep Entity Matching with Pre-Trained Language ModelsarXiv:2004.00584
  • Data IntegrationonAmazon-Google
    F1 (%)· 2020-04-01
    75.58
    best: 85.21 (gpt4-0613_fewshot-10)
    SOTA
    Deep Entity Matching with Pre-Trained Language ModelsarXiv:2004.00584
  • Data IntegrationonWDC Computers-small
    F1 (%)· 2020-04-01
    80.76
    best: 96.53 (BERT)
    SOTA
    Deep Entity Matching with Pre-Trained Language ModelsarXiv:2004.00584
  • Data IntegrationonWDC Watches-xlarge
    F1 (%)· 2020-04-01
    96.53
    best: 97.09 (JointBERT)
    SOTA
    Deep Entity Matching with Pre-Trained Language ModelsarXiv:2004.00584
  • Data IntegrationonWDC Products-80%cc-seen-medium
    F1 (%)· 2023-01-23
    73.93
    best: 89.61 (gpt4-0613_zeroshot)
    WDC Products: A Multi-Dimensional Entity Matching BenchmarkarXiv:2301.09521
  • Data IntegrationonWDC Products-50%cc-unseen-medium
    F1 (%)· 2023-01-23
    70.66
    best: 71.14 (RoBERTa-base)
    WDC Products: A Multi-Dimensional Entity Matching BenchmarkarXiv:2301.09521

Natural Language Processing8 results

  • Entity ResolutiononAbt-Buy
    F1 (%)· 2020-04-01
    89.33
    best: 95.78 (gpt4-0613_zeroshot)
    SOTA
    Deep Entity Matching with Pre-Trained Language ModelsarXiv:2004.00584
  • Entity ResolutiononWDC Computers-xlarge
    F1 (%)· 2020-04-01
    95.45
    best: 98.33 (RoBERTa-SupCon)
    SOTA
    Deep Entity Matching with Pre-Trained Language ModelsarXiv:2004.00584
  • Entity ResolutiononWDC Watches-small
    F1 (%)· 2020-04-01
    85.12
    best: 94 (HG)
    SOTA
    Deep Entity Matching with Pre-Trained Language ModelsarXiv:2004.00584
  • Entity ResolutiononAmazon-Google
    F1 (%)· 2020-04-01
    75.58
    best: 85.21 (gpt4-0613_fewshot-10)
    SOTA
    Deep Entity Matching with Pre-Trained Language ModelsarXiv:2004.00584
  • Entity ResolutiononWDC Computers-small
    F1 (%)· 2020-04-01
    80.76
    best: 96.53 (BERT)
    SOTA
    Deep Entity Matching with Pre-Trained Language ModelsarXiv:2004.00584
  • Entity ResolutiononWDC Watches-xlarge
    F1 (%)· 2020-04-01
    96.53
    best: 97.09 (JointBERT)
    SOTA
    Deep Entity Matching with Pre-Trained Language ModelsarXiv:2004.00584
  • Entity ResolutiononWDC Products-80%cc-seen-medium
    F1 (%)· 2023-01-23
    73.93
    best: 89.61 (gpt4-0613_zeroshot)
    WDC Products: A Multi-Dimensional Entity Matching BenchmarkarXiv:2301.09521
  • Entity ResolutiononWDC Products-50%cc-unseen-medium
    F1 (%)· 2023-01-23
    70.66
    best: 71.14 (RoBERTa-base)
    WDC Products: A Multi-Dimensional Entity Matching BenchmarkarXiv:2301.09521