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Models/NCBI_BERT(base) (P+M)

NCBI_BERT(base) (P+M)

Reported on 8 benchmarks across 5 tasks · 1 paper · 8 SOTA

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

Natural Language Processing4 results

Natural Language InferenceonMedNLI
Accuracy· 2019-06-13
84
best: 86.59 (ClinicalMosaic)
SOTA
Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets arXiv:1906.05474
Named Entity Recognition (NER)onShARe/CLEF eHealth corpus
F1· 2019-06-13
0.792
best: 0.8371 (BioELECTRA)
SOTA
Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets arXiv:1906.05474
Sentence Pair ModelingonMedSTS
Pearson Correlation· 2019-06-13
0.848
SOTA
Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets arXiv:1906.05474
Sentence Pair ModelingonBIOSSES
Pearson Correlation· 2019-06-13
0.9159999999999999
best: 0.9363 (BioLinkBERT (large))
SOTA
Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets arXiv:1906.05474

Medical2 results

Language ModellingonMedSTS
Pearson Correlation· 2019-06-13
0.848
SOTA
Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets arXiv:1906.05474
Language ModellingonBIOSSES
Pearson Correlation· 2019-06-13
0.9159999999999999
best: 0.9363 (BioLinkBERT (large))
SOTA
Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets arXiv:1906.05474

Methodology2 results

Semantic SimilarityonMedSTS
Pearson Correlation· 2019-06-13
0.848
SOTA
Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets arXiv:1906.05474
Semantic SimilarityonBIOSSES
Pearson Correlation· 2019-06-13
0.9159999999999999
best: 0.9363 (BioLinkBERT (large))
SOTA
Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets arXiv:1906.05474