GAP: A Graph-aware Language Model Framework for Knowledge Graph-to-Text Generation

Benchmark Model Rank Results
kg-to-text-generation-on-eventnarrativeGAP - Me,r+γ#1BLEU: 35.08METEOR: 27.5ROUGE: 64.28BertScore: 93.38
kg-to-text-generation-on-eventnarrativeGAP - Me,re#2BLEU: 34.02METEOR: 26.93ROUGE: 62.9
kg-to-text-generation-on-eventnarrativeBART#4BLEU: 31.38METEOR: 26.68ROUGE: 62.65BertScore: 93.12
kg-to-text-generation-on-eventnarrativeJointGT#5BLEU: 31.19METEOR: 26.58ROUGE: 64.91BertScore: 93.68
kg-to-text-generation-on-eventnarrativeT5#8BLEU: 12.8METEOR: 22.77ROUGE: 52.06BertScore: 89.59
kg-to-text-generation-on-webnlg-2-0GAP - Me,r+γ#1BLEU: 66.2ROUGE: 76.36
kg-to-text-generation-on-webnlg-2-0JointGT (BART) - w/ JointGTPretrain#4BLEU: 65.92METEOR: 47.15ROUGE: 76.1
kg-to-text-generation-on-webnlg-2-0JointGT (BART) - w/ BARTPretrain#5BLEU: 64.6METEOR: 46.77ROUGE: 75.74
kg-to-text-generation-on-webnlg-2-0KGPT w/o pretrain#10BLEU: 62.3METEOR: 44.33ROUGE: 73
kg-to-text-generation-on-webnlg-2-0GCN#12BLEU: 60.8METEOR: 42.76ROUGE: 71.13
kg-to-text-generation-on-webnlg-2-0GAP - Me,re#13ROUGE: 76.22