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Models/EDA_CS (TL)

EDA_CS (TL)

Reported on 10 benchmarks across 2 tasks · 1 paper

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

Adversarial5 results

  • Text GenerationonE2E NLG Challenge
    BLEU· uses extra data· 2019-04-26
    65.8
    best: 68.6 (S_1^R)
    Copy mechanism and tailored training for character-based data-to-text generationarXiv:1904.11838
  • Text GenerationonE2E NLG Challenge
    CIDEr· uses extra data· 2019-04-26
    2.1803
    best: 2.37 (S_1^R)
    Copy mechanism and tailored training for character-based data-to-text generationarXiv:1904.11838
  • Text GenerationonE2E NLG Challenge
    METEOR· uses extra data· 2019-04-26
    45.16
    best: 46.11 (Self-memory)
    Copy mechanism and tailored training for character-based data-to-text generationarXiv:1904.11838
  • Text GenerationonE2E NLG Challenge
    NIST· uses extra data· 2019-04-26
    8.5615
    best: 8.73 (S_1^R)
    Copy mechanism and tailored training for character-based data-to-text generationarXiv:1904.11838
  • Text GenerationonE2E NLG Challenge
    ROUGE-L· uses extra data· 2019-04-26
    67.4
    best: 70.83 (Zhang)
    Copy mechanism and tailored training for character-based data-to-text generationarXiv:1904.11838

Natural Language Processing5 results

  • Data-to-Text GenerationonE2E NLG Challenge
    BLEU· uses extra data· 2019-04-26
    65.8
    best: 68.6 (S_1^R)
    Copy mechanism and tailored training for character-based data-to-text generationarXiv:1904.11838
  • Data-to-Text GenerationonE2E NLG Challenge
    CIDEr· uses extra data· 2019-04-26
    2.1803
    best: 2.37 (S_1^R)
    Copy mechanism and tailored training for character-based data-to-text generationarXiv:1904.11838
  • Data-to-Text GenerationonE2E NLG Challenge
    METEOR· uses extra data· 2019-04-26
    45.16
    best: 46.11 (Self-memory)
    Copy mechanism and tailored training for character-based data-to-text generationarXiv:1904.11838
  • Data-to-Text GenerationonE2E NLG Challenge
    NIST· uses extra data· 2019-04-26
    8.5615
    best: 8.73 (S_1^R)
    Copy mechanism and tailored training for character-based data-to-text generationarXiv:1904.11838
  • Data-to-Text GenerationonE2E NLG Challenge
    ROUGE-L· uses extra data· 2019-04-26
    67.4
    best: 70.83 (Zhang)
    Copy mechanism and tailored training for character-based data-to-text generationarXiv:1904.11838