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Models/TUDA

TUDA

Reported on 10 benchmarks across 2 tasks

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
    56.57
    best: 68.6 (S_1^R)
  • Text GenerationonE2E NLG Challenge
    CIDEr
    1.8206
    best: 2.37 (S_1^R)
  • Text GenerationonE2E NLG Challenge
    METEOR
    45.29
    best: 46.11 (Self-memory)
  • Text GenerationonE2E NLG Challenge
    NIST
    7.4544
    best: 8.73 (S_1^R)
  • Text GenerationonE2E NLG Challenge
    ROUGE-L
    66.14
    best: 70.83 (Zhang)

Natural Language Processing5 results

  • Data-to-Text GenerationonE2E NLG Challenge
    BLEU
    56.57
    best: 68.6 (S_1^R)
  • Data-to-Text GenerationonE2E NLG Challenge
    CIDEr
    1.8206
    best: 2.37 (S_1^R)
  • Data-to-Text GenerationonE2E NLG Challenge
    METEOR
    45.29
    best: 46.11 (Self-memory)
  • Data-to-Text GenerationonE2E NLG Challenge
    NIST
    7.4544
    best: 8.73 (S_1^R)
  • Data-to-Text GenerationonE2E NLG Challenge
    ROUGE-L
    66.14
    best: 70.83 (Zhang)