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Models/MGNER

MGNER

Reported on 5 benchmarks across 2 tasks · 1 paper · 4 SOTA

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

Natural Language Processing7 results

  • Named Entity Recognition (NER)onACE 2004
    F1· 2019-06-20
    79.5
    best: 90.3 (Ours: cross-sentence ALB)
    SOTA
    Multi-Grained Named Entity RecognitionarXiv:1906.08449
  • Named Entity Recognition (NER)onACE 2005
    F1· 2019-06-20
    78.2
    best: 90.9 (Ours: cross-sentence ALB)
    SOTA
    Multi-Grained Named Entity RecognitionarXiv:1906.08449
  • Nested Mention RecognitiononACE 2005
    F1· 2019-06-20
    78.2
    best: 85.46 (BoningKnife)
    SOTA
    Multi-Grained Named Entity RecognitionarXiv:1906.08449
  • Nested Mention RecognitiononACE 2004
    F1· 2019-06-20
    79.5
    best: 86.41 (BoningKnife)
    SOTA
    Multi-Grained Named Entity RecognitionarXiv:1906.08449
  • Named Entity Recognition (NER)onCoNLL 2003 (English)
    F1· 2019-06-20
    92.28
    best: 94.6 (ACE + document-context)
    Multi-Grained Named Entity RecognitionarXiv:1906.08449
  • Named Entity Recognition (NER)onACE 2005
    F1· uses extra data· 2019-06-20
    78.2
    best: 90.9 (Ours: cross-sentence ALB)
    Multi-Grained Named Entity RecognitionarXiv:1906.08449
  • Named Entity Recognition (NER)onACE 2004
    F1· uses extra data· 2019-06-20
    79.5
    best: 90.3 (Ours: cross-sentence ALB)
    Multi-Grained Named Entity RecognitionarXiv:1906.08449