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Models/NFLAT

NFLAT

Reported on 12 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 Processing12 results

  • Named Entity Recognition (NER)onWeibo NER
    F1· 2022-05-12
    61.94
    best: 72.77 (BERT-CRF (Replicated in AdaSeq))
    NFLAT: Non-Flat-Lattice Transformer for Chinese Named Entity RecognitionarXiv:2205.05832
  • Named Entity Recognition (NER)onWeibo NER
    Precision· 2022-05-12
    59.1
    best: 67.68 (Glyce + BERT)
    NFLAT: Non-Flat-Lattice Transformer for Chinese Named Entity RecognitionarXiv:2205.05832
  • Named Entity Recognition (NER)onWeibo NER
    Recall· 2022-05-12
    63.76
    best: 67.71 (Glyce + BERT)
    NFLAT: Non-Flat-Lattice Transformer for Chinese Named Entity RecognitionarXiv:2205.05832
  • Named Entity Recognition (NER)onMSRA
    F1· 2022-05-12
    94.55
    best: 96.72 (BERT-MRC+DSC)
    NFLAT: Non-Flat-Lattice Transformer for Chinese Named Entity RecognitionarXiv:2205.05832
  • Named Entity Recognition (NER)onMSRA
    Precision· 2022-05-12
    94.92
    best: 95.57 (Glyce + BERT)
    NFLAT: Non-Flat-Lattice Transformer for Chinese Named Entity RecognitionarXiv:2205.05832
  • Named Entity Recognition (NER)onMSRA
    Recall· 2022-05-12
    94.19
    best: 95.51 (Glyce + BERT)
    NFLAT: Non-Flat-Lattice Transformer for Chinese Named Entity RecognitionarXiv:2205.05832
  • Named Entity Recognition (NER)onResume NER
    F1· 2022-05-12
    95.58
    best: 96.87 (BERT-CRF (Replicated in AdaSeq))
    NFLAT: Non-Flat-Lattice Transformer for Chinese Named Entity RecognitionarXiv:2205.05832
  • Named Entity Recognition (NER)onResume NER
    Precision· 2022-05-12
    95.63
    best: 96.62 (Glyce + BERT)
    NFLAT: Non-Flat-Lattice Transformer for Chinese Named Entity RecognitionarXiv:2205.05832
  • Named Entity Recognition (NER)onResume NER
    Recall· 2022-05-12
    95.52
    best: 96.48 (Glyce + BERT)
    NFLAT: Non-Flat-Lattice Transformer for Chinese Named Entity RecognitionarXiv:2205.05832
  • Named Entity Recognition (NER)onOntoNotes 4
    F1· 2022-05-12
    77.21
    best: 84.47 (BERT-MRC+DSC)
    NFLAT: Non-Flat-Lattice Transformer for Chinese Named Entity RecognitionarXiv:2205.05832
  • Named Entity Recognition (NER)onOntoNotes 4
    Precision· 2022-05-12
    75.17
    best: 81.87 (Glyce + BERT)
    NFLAT: Non-Flat-Lattice Transformer for Chinese Named Entity RecognitionarXiv:2205.05832
  • Named Entity Recognition (NER)onOntoNotes 4
    Recall· 2022-05-12
    79.37
    best: 81.4 (Glyce + BERT)
    NFLAT: Non-Flat-Lattice Transformer for Chinese Named Entity RecognitionarXiv:2205.05832