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Models/BioBERT

BioBERT

Reported on 7 benchmarks across 4 tasks · 1 paper · 7 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 ExtractiononChemProt
    F1· 2019-01-25
    76.46
    best: 83.64 (SciBert (Finetune))
    SOTA
    BioBERT: a pre-trained biomedical language representation model for biomedical text miningarXiv:1901.08746
  • Named Entity Recognition (NER)onNCBI-disease
    F1· 2019-01-25
    89.71
    SOTA
    BioBERT: a pre-trained biomedical language representation model for biomedical text miningarXiv:1901.08746
  • Named Entity Recognition (NER)onSpecies-800
    F1· 2019-01-25
    75.31
    best: 80.91 (Spark NLP)
    SOTA
    BioBERT: a pre-trained biomedical language representation model for biomedical text miningarXiv:1901.08746
  • Named Entity Recognition (NER)onJNLPBA
    F1· 2019-01-25
    77.59
    best: 82 (KeBioLM)
    SOTA
    BioBERT: a pre-trained biomedical language representation model for biomedical text miningarXiv:1901.08746

Medical2 results

  • Information ExtractiononDDI extraction 2013 corpus
    F1· 2019-01-25
    0.8088
    best: 0.8408 (DESC+MOL+SciBERT)
    SOTA
    BioBERT: a pre-trained biomedical language representation model for biomedical text miningarXiv:1901.08746
  • Information ExtractiononDDI extraction 2013 corpus
    Micro F1· 2019-01-25
    80.88
    best: 84.08 (DESC+MOL+SciBERT)
    SOTA
    BioBERT: a pre-trained biomedical language representation model for biomedical text miningarXiv:1901.08746

Methodology1 result

  • Representation LearningonSciDocs
    Avg.· 2019-01-25
    58.8
    best: 81.8 (SciNCL)
    SOTA
    BioBERT: a pre-trained biomedical language representation model for biomedical text miningarXiv:1901.08746