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Models/ATLOP

ATLOP

Reported on 8 benchmarks across 2 tasks · 2 papers · 2 SOTA

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

Natural Language Processing8 results

  • Relation ExtractiononReDocRED
    F1· 2020-10-21
    77.56
    best: 84.01 (TTM-RE)
    SOTA
    Document-Level Relation Extraction with Adaptive Thresholding and Localized Context PoolingarXiv:2010.11304
  • Relation ExtractiononReDocRED
    Ign F1· 2020-10-21
    76.82
    best: 83.11 (TTM-RE)
    SOTA
    Document-Level Relation Extraction with Adaptive Thresholding and Localized Context PoolingarXiv:2010.11304
  • Relation ExtractiononChemDisGene
    F1· 2022-10-17
    42.73
    best: 53.59 (TTM-RE)
    A Unified Positive-Unlabeled Learning Framework for Document-Level Relation Extraction with Different Levels of LabelingarXiv:2210.08709
  • Relation ExtractiononRe-DocRED
    F1· 2022-10-17
    45.19
    best: 59.5 (SSR-PU)
    A Unified Positive-Unlabeled Learning Framework for Document-Level Relation Extraction with Different Levels of LabelingarXiv:2210.08709
  • Relation ExtractiononRe-DocRED
    Ign F1· 2022-10-17
    45.09
    best: 58.68 (SSR-PU)
    A Unified Positive-Unlabeled Learning Framework for Document-Level Relation Extraction with Different Levels of LabelingarXiv:2210.08709
  • Document-level Relation ExtractiononChemDisGene
    F1· 2022-10-17
    42.73
    best: 53.59 (TTM-RE)
    A Unified Positive-Unlabeled Learning Framework for Document-Level Relation Extraction with Different Levels of LabelingarXiv:2210.08709
  • Document-level Relation ExtractiononRe-DocRED
    F1· 2022-10-17
    45.19
    best: 59.5 (SSR-PU)
    A Unified Positive-Unlabeled Learning Framework for Document-Level Relation Extraction with Different Levels of LabelingarXiv:2210.08709
  • Document-level Relation ExtractiononRe-DocRED
    Ign F1· 2022-10-17
    45.09
    best: 58.68 (SSR-PU)
    A Unified Positive-Unlabeled Learning Framework for Document-Level Relation Extraction with Different Levels of LabelingarXiv:2210.08709