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Models/SpERT (with overlap)

SpERT (with overlap)

Reported on 6 benchmarks across 2 tasks · 1 paper · 3 SOTA

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

Natural Language Processing4 results

  • Relation ExtractiononAdverse Drug Events (ADE) Corpus
    NER Macro F1· 2019-09-17
    89.28
    best: 91.5 (PFN (ALBERT XXL, average aggregation))
    SOTA
    Span-based Joint Entity and Relation Extraction with Transformer Pre-trainingarXiv:1909.07755
  • Relation ExtractiononSciERC
    Relation F1· 2019-09-17
    50.84
    best: 53.2 (PL-Marker)
    SOTA
    Span-based Joint Entity and Relation Extraction with Transformer Pre-trainingarXiv:1909.07755
  • Relation ExtractiononAdverse Drug Events (ADE) Corpus
    RE+ Macro F1· 2019-09-17
    78.84
    best: 83.9 (PFN (ALBERT XXL, average aggregation))
    Span-based Joint Entity and Relation Extraction with Transformer Pre-trainingarXiv:1909.07755
  • Relation ExtractiononSciERC
    Entity F1· 2019-09-17
    70.3
    best: 70.53 (SpERT.PL (SciBERT))
    Span-based Joint Entity and Relation Extraction with Transformer Pre-trainingarXiv:1909.07755

Medical2 results

  • Information ExtractiononSciERC
    Relation F1· 2019-09-17
    50.84
    best: 53.2 (PL-Marker)
    SOTA
    Span-based Joint Entity and Relation Extraction with Transformer Pre-trainingarXiv:1909.07755
  • Information ExtractiononSciERC
    Entity F1· 2019-09-17
    70.3
    best: 70.53 (SpERT.PL (SciBERT))
    Span-based Joint Entity and Relation Extraction with Transformer Pre-trainingarXiv:1909.07755