Investigating Pretrained Language Models for Graph-to-Text Generation

Benchmark Model Rank Results
data-to-text-generation-on-webnlgT5-small#8BLEU: 65.05
data-to-text-generation-on-webnlg-fullT5-large#4BLEU: 59.70
kg-to-text-generation-on-agendaBART-large+ STA#1BLEU: 25.66
kg-to-text-generation-on-agendaBART-large#2BLEU: 23.65
question-generation-on-grailqa-compositionalT5B#4METEOR: 35.64BLEU: 31.75FactSpotter: 94.84
question-generation-on-grailqa-iidT5B#3BLEU: 44.51METEOR: 42.71FactSpotter: 99.43
question-generation-on-grailqa-zero-shotT5B#4METEOR: 37.35bleu: 32.20FactSpotter: 94.77