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Models/MAN-MoE+CharCNN+UMWE

MAN-MoE+CharCNN+UMWE

Reported on 6 benchmarks across 2 tasks · 1 paper · 6 SOTA

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

Natural Language Processing6 results

  • Cross-LingualonCoNLL Dutch
    F1· 2018-10-08
    72.4
    best: 83.35 (Zero shot mBERT 3)
    SOTA
    Multi-Source Cross-Lingual Model Transfer: Learning What to SharearXiv:1810.03552
  • Cross-LingualonCoNLL German
    F1· 2018-10-08
    56
    best: 75.33 (SMTS Multi sim)
    SOTA
    Multi-Source Cross-Lingual Model Transfer: Learning What to SharearXiv:1810.03552
  • Cross-LingualonCoNLL Spanish
    F1· 2018-10-08
    73.5
    best: 79.5 (XLM-R large)
    SOTA
    Multi-Source Cross-Lingual Model Transfer: Learning What to SharearXiv:1810.03552
  • Cross-Lingual TransferonCoNLL Dutch
    F1· 2018-10-08
    72.4
    best: 83.35 (Zero shot mBERT 3)
    SOTA
    Multi-Source Cross-Lingual Model Transfer: Learning What to SharearXiv:1810.03552
  • Cross-Lingual TransferonCoNLL German
    F1· 2018-10-08
    56
    best: 75.33 (SMTS Multi sim)
    SOTA
    Multi-Source Cross-Lingual Model Transfer: Learning What to SharearXiv:1810.03552
  • Cross-Lingual TransferonCoNLL Spanish
    F1· 2018-10-08
    73.5
    best: 79.5 (XLM-R large)
    SOTA
    Multi-Source Cross-Lingual Model Transfer: Learning What to SharearXiv:1810.03552