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Models/SLAHAN (LSTM+syntactic-information)

SLAHAN (LSTM+syntactic-information)

Reported on 8 benchmarks across 4 tasks · 1 paper · 8 SOTA

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

Natural Language Processing4 results

  • Sentence EmbeddingsonGoogle Dataset
    CR· 2020-02-04
    0.407
    best: 0.43 (BiLSTM)
    SOTA
    Syntactically Look-Ahead Attention Network for Sentence CompressionarXiv:2002.01145
  • Sentence EmbeddingsonGoogle Dataset
    F1· 2020-02-04
    0.855
    SOTA
    Syntactically Look-Ahead Attention Network for Sentence CompressionarXiv:2002.01145
  • Sentence CompressiononGoogle Dataset
    CR· 2020-02-04
    0.407
    best: 0.43 (BiLSTM)
    SOTA
    Syntactically Look-Ahead Attention Network for Sentence CompressionarXiv:2002.01145
  • Sentence CompressiononGoogle Dataset
    F1· 2020-02-04
    0.855
    SOTA
    Syntactically Look-Ahead Attention Network for Sentence CompressionarXiv:2002.01145

Knowledge Base2 results

  • Text SummarizationonGoogle Dataset
    CR· 2020-02-04
    0.407
    best: 0.43 (BiLSTM)
    SOTA
    Syntactically Look-Ahead Attention Network for Sentence CompressionarXiv:2002.01145
  • Text SummarizationonGoogle Dataset
    F1· 2020-02-04
    0.855
    SOTA
    Syntactically Look-Ahead Attention Network for Sentence CompressionarXiv:2002.01145

Methodology2 results

  • Representation LearningonGoogle Dataset
    CR· 2020-02-04
    0.407
    best: 0.43 (BiLSTM)
    SOTA
    Syntactically Look-Ahead Attention Network for Sentence CompressionarXiv:2002.01145
  • Representation LearningonGoogle Dataset
    F1· 2020-02-04
    0.855
    SOTA
    Syntactically Look-Ahead Attention Network for Sentence CompressionarXiv:2002.01145