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

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

Adversarial4 results

  • Text GenerationonE2E NLG Challenge
    BLEU· uses extra data· 2018-05-16
    66.19
    best: 68.6 (S_1^R)
    SOTA
    A Deep Ensemble Model with Slot Alignment for Sequence-to-Sequence Natural Language GenerationarXiv:1805.06553
  • Text GenerationonE2E NLG Challenge
    METEOR· uses extra data· 2018-05-16
    44.54
    best: 46.11 (Self-memory)
    SOTA
    A Deep Ensemble Model with Slot Alignment for Sequence-to-Sequence Natural Language GenerationarXiv:1805.06553
  • Text GenerationonE2E NLG Challenge
    NIST· uses extra data· 2018-05-16
    8.613
    best: 8.73 (S_1^R)
    SOTA
    A Deep Ensemble Model with Slot Alignment for Sequence-to-Sequence Natural Language GenerationarXiv:1805.06553
  • Text GenerationonE2E NLG Challenge
    ROUGE-L· uses extra data· 2018-05-16
    67.72
    best: 70.83 (Zhang)
    SOTA
    A Deep Ensemble Model with Slot Alignment for Sequence-to-Sequence Natural Language GenerationarXiv:1805.06553

Natural Language Processing4 results

  • Data-to-Text GenerationonE2E NLG Challenge
    BLEU· uses extra data· 2018-05-16
    66.19
    best: 68.6 (S_1^R)
    SOTA
    A Deep Ensemble Model with Slot Alignment for Sequence-to-Sequence Natural Language GenerationarXiv:1805.06553
  • Data-to-Text GenerationonE2E NLG Challenge
    METEOR· uses extra data· 2018-05-16
    44.54
    best: 46.11 (Self-memory)
    SOTA
    A Deep Ensemble Model with Slot Alignment for Sequence-to-Sequence Natural Language GenerationarXiv:1805.06553
  • Data-to-Text GenerationonE2E NLG Challenge
    NIST· uses extra data· 2018-05-16
    8.613
    best: 8.73 (S_1^R)
    SOTA
    A Deep Ensemble Model with Slot Alignment for Sequence-to-Sequence Natural Language GenerationarXiv:1805.06553
  • Data-to-Text GenerationonE2E NLG Challenge
    ROUGE-L· uses extra data· 2018-05-16
    67.72
    best: 70.83 (Zhang)
    SOTA
    A Deep Ensemble Model with Slot Alignment for Sequence-to-Sequence Natural Language GenerationarXiv:1805.06553