E2E GRU

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

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

Adversarial1 result

Text GenerationonWebNLG
BLEU· 2019-08-23
57.2
best: 67.32 (Control Prefixes (A1, T5-large))
SOTA
Neural data-to-text generation: A comparison between pipeline and end-to-end architectures arXiv:1908.09022

Natural Language Processing1 result

Data-to-Text GenerationonWebNLG
BLEU· 2019-08-23
57.2
best: 67.32 (Control Prefixes (A1, T5-large))
SOTA
Neural data-to-text generation: A comparison between pipeline and end-to-end architectures arXiv:1908.09022