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Models/CAN-NER Model

CAN-NER Model

Reported on 12 benchmarks across 1 task · 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 Processing12 results

  • Named Entity Recognition (NER)onWeibo NER
    Accuracy-NE· 2019-04-03
    55.38
    SOTA
    CAN-NER: Convolutional Attention Network for Chinese Named Entity RecognitionarXiv:1904.02141
  • Named Entity Recognition (NER)onWeibo NER
    Accuracy-NM· 2019-04-03
    62.98
    SOTA
    CAN-NER: Convolutional Attention Network for Chinese Named Entity RecognitionarXiv:1904.02141
  • Named Entity Recognition (NER)onWeibo NER
    Overall· 2019-04-03
    59.31
    SOTA
    CAN-NER: Convolutional Attention Network for Chinese Named Entity RecognitionarXiv:1904.02141
  • Named Entity Recognition (NER)onMSRA
    F1· 2019-04-03
    92.97
    best: 96.72 (BERT-MRC+DSC)
    CAN-NER: Convolutional Attention Network for Chinese Named Entity RecognitionarXiv:1904.02141
  • Named Entity Recognition (NER)onMSRA
    Precision· 2019-04-03
    93.53
    best: 95.57 (Glyce + BERT)
    CAN-NER: Convolutional Attention Network for Chinese Named Entity RecognitionarXiv:1904.02141
  • Named Entity Recognition (NER)onMSRA
    Recall· 2019-04-03
    92.42
    best: 95.51 (Glyce + BERT)
    CAN-NER: Convolutional Attention Network for Chinese Named Entity RecognitionarXiv:1904.02141
  • Named Entity Recognition (NER)onResume NER
    F1· 2019-04-03
    94.94
    best: 96.87 (BERT-CRF (Replicated in AdaSeq))
    CAN-NER: Convolutional Attention Network for Chinese Named Entity RecognitionarXiv:1904.02141
  • Named Entity Recognition (NER)onResume NER
    Precision· 2019-04-03
    95.05
    best: 96.62 (Glyce + BERT)
    CAN-NER: Convolutional Attention Network for Chinese Named Entity RecognitionarXiv:1904.02141
  • Named Entity Recognition (NER)onResume NER
    Recall· 2019-04-03
    94.82
    best: 96.48 (Glyce + BERT)
    CAN-NER: Convolutional Attention Network for Chinese Named Entity RecognitionarXiv:1904.02141
  • Named Entity Recognition (NER)onOntoNotes 4
    F1· 2019-04-03
    73.64
    best: 84.47 (BERT-MRC+DSC)
    CAN-NER: Convolutional Attention Network for Chinese Named Entity RecognitionarXiv:1904.02141
  • Named Entity Recognition (NER)onOntoNotes 4
    Precision· 2019-04-03
    75.05
    best: 81.87 (Glyce + BERT)
    CAN-NER: Convolutional Attention Network for Chinese Named Entity RecognitionarXiv:1904.02141
  • Named Entity Recognition (NER)onOntoNotes 4
    Recall· 2019-04-03
    72.29
    best: 81.4 (Glyce + BERT)
    CAN-NER: Convolutional Attention Network for Chinese Named Entity RecognitionarXiv:1904.02141