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Models/Bi-LSTM

Bi-LSTM

Reported on 6 benchmarks across 5 tasks · 4 papers · 2 SOTA

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

Natural Language Processing7 results

  • Grammatical Error CorrectiononFCE
    F0.5· 2016-07-20
    41.1
    best: 72.2 (VERNet)
    SOTA
    Compositional Sequence Labeling Models for Error Detection in Learner WritingarXiv:1607.06153
  • Part-Of-Speech TaggingonUD
    Avg accuracy· 2016-04-19
    96.4
    best: 96.88 (BiLSTM-LAN)
    SOTA
    Multilingual Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Models and Auxiliary LossarXiv:1604.05529
  • Sentiment AnalysisonRETWEET
    Average F1· 2021-04-21
    71.9
    best: 73.2 (Ensemble Model (Bi-LSTM + CNN))
    How Will Your Tweet Be Received? Predicting the Sentiment Polarity of Tweet RepliesarXiv:2104.10513
  • Twitter Sentiment AnalysisonRETWEET
    Average F1· 2021-04-21
    71.9
    best: 73.2 (Ensemble Model (Bi-LSTM + CNN))
    How Will Your Tweet Be Received? Predicting the Sentiment Polarity of Tweet RepliesarXiv:2104.10513
  • Part-Of-Speech TaggingonPenn Treebank
    Accuracy· 2016-04-19
    97.22
    best: 98.15 (SALE-BART encoder)
    Multilingual Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Models and Auxiliary LossarXiv:1604.05529
  • Part-Of-Speech TaggingonPenn Treebank
    Accuracy· 2015-08-09
    97.36
    best: 98.15 (SALE-BART encoder)
    Finding Function in Form: Compositional Character Models for Open Vocabulary Word RepresentationarXiv:1508.02096
  • Relation ExtractiononSemEval-2010 Task-8
    F1
    82.7
    best: 91.9 (SP)