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Models/Baseline + BS

Baseline + BS

Reported on 8 benchmarks across 1 task · 1 paper

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

Natural Language Processing8 results

  • Named Entity Recognition (NER)onOntonotes v5 (English)
    F1· 2022-04-26
    91.74
    best: 92.07 (BERT-MRC+DSC)
    Boundary Smoothing for Named Entity RecognitionarXiv:2204.12031
  • Named Entity Recognition (NER)onCoNLL 2003 (English)
    F1· 2022-04-26
    93.65
    best: 94.6 (ACE + document-context)
    Boundary Smoothing for Named Entity RecognitionarXiv:2204.12031
  • Named Entity Recognition (NER)onACE 2005
    F1· 2022-04-26
    87.15
    best: 90.9 (Ours: cross-sentence ALB)
    Boundary Smoothing for Named Entity RecognitionarXiv:2204.12031
  • Named Entity Recognition (NER)onACE 2004
    F1· 2022-04-26
    87.98
    best: 90.3 (Ours: cross-sentence ALB)
    Boundary Smoothing for Named Entity RecognitionarXiv:2204.12031
  • Named Entity Recognition (NER)onWeibo NER
    F1· 2022-04-26
    72.66
    best: 72.77 (BERT-CRF (Replicated in AdaSeq))
    Boundary Smoothing for Named Entity RecognitionarXiv:2204.12031
  • Named Entity Recognition (NER)onMSRA
    F1· 2022-04-26
    96.26
    best: 96.72 (BERT-MRC+DSC)
    Boundary Smoothing for Named Entity RecognitionarXiv:2204.12031
  • Named Entity Recognition (NER)onResume NER
    F1· 2022-04-26
    96.66
    best: 96.87 (BERT-CRF (Replicated in AdaSeq))
    Boundary Smoothing for Named Entity RecognitionarXiv:2204.12031
  • Named Entity Recognition (NER)onOntoNotes 4
    F1· 2022-04-26
    82.83
    best: 84.47 (BERT-MRC+DSC)
    Boundary Smoothing for Named Entity RecognitionarXiv:2204.12031