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Models/BiLSTM (Europarl)

BiLSTM (Europarl)

Reported on 8 benchmarks across 2 tasks · 1 paper · 2 SOTA

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

Natural Language Processing8 results

  • Cross-LingualonMLDoc Zero-Shot German-to-French
    Accuracy· 2018-05-24
    75.45
    SOTA
    A Corpus for Multilingual Document Classification in Eight LanguagesarXiv:1805.09821
  • Cross-Lingual Document ClassificationonMLDoc Zero-Shot German-to-French
    Accuracy· 2018-05-24
    75.45
    SOTA
    A Corpus for Multilingual Document Classification in Eight LanguagesarXiv:1805.09821
  • Cross-LingualonMLDoc Zero-Shot English-to-French
    Accuracy· 2018-05-24
    72.83
    best: 96.05 (XLMft UDA)
    A Corpus for Multilingual Document Classification in Eight LanguagesarXiv:1805.09821
  • Cross-LingualonMLDoc Zero-Shot English-to-Spanish
    Accuracy· 2018-05-24
    66.65
    best: 96.8 (XLMft UDA)
    A Corpus for Multilingual Document Classification in Eight LanguagesarXiv:1805.09821
  • Cross-LingualonMLDoc Zero-Shot English-to-Italian
    Accuracy· 2018-05-24
    60.73
    best: 76.02 (MultiFiT, pseudo)
    A Corpus for Multilingual Document Classification in Eight LanguagesarXiv:1805.09821
  • Cross-Lingual Document ClassificationonMLDoc Zero-Shot English-to-French
    Accuracy· 2018-05-24
    72.83
    best: 96.05 (XLMft UDA)
    A Corpus for Multilingual Document Classification in Eight LanguagesarXiv:1805.09821
  • Cross-Lingual Document ClassificationonMLDoc Zero-Shot English-to-Spanish
    Accuracy· 2018-05-24
    66.65
    best: 96.8 (XLMft UDA)
    A Corpus for Multilingual Document Classification in Eight LanguagesarXiv:1805.09821
  • Cross-Lingual Document ClassificationonMLDoc Zero-Shot English-to-Italian
    Accuracy· 2018-05-24
    60.73
    best: 76.02 (MultiFiT, pseudo)
    A Corpus for Multilingual Document Classification in Eight LanguagesarXiv:1805.09821