Amazon AI (Shanghai) (guo-etal-2020-2)

Reported on 2 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.

Natural Language Processing1 result

Relation ExtractiononWebNLG 3.0
F1· 2021-08-27
68.9
best: 72.3 (ReGen (Ours) T2G.CE)
ReGen: Reinforcement Learning for Text and Knowledge Base Generation using Pretrained Language Models arXiv:2108.12472

Medical1 result

Information ExtractiononWebNLG 3.0
F1· 2021-08-27
68.9
best: 72.3 (ReGen (Ours) T2G.CE)
ReGen: Reinforcement Learning for Text and Knowledge Base Generation using Pretrained Language Models arXiv:2108.12472