JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs

Benchmark Model Rank Results
kg-to-text-generation-on-pathquestionJointGT (BART)#1BLEU: 65.89METEOR: 48.25ROUGE: 78.87
kg-to-text-generation-on-pathquestionBART#2BLEU: 63.74METEOR: 47.23ROUGE: 77.76
kg-to-text-generation-on-pathquestionJointGT (T5)#4BLEU: 60.45METEOR: 45.38ROUGE: 77.59
kg-to-text-generation-on-pathquestionT5#5BLEU: 58.95METEOR: 44.72ROUGE: 76.58
kg-to-text-generation-on-webnlg-2-0JointGT (T5)#2BLEU: 66.14METEOR: 47.25ROUGE: 75.91
kg-to-text-generation-on-webnlg-2-0JointGT (BART)#3BLEU: 65.92METEOR: 47.15ROUGE: 76.10
kg-to-text-generation-on-webnlg-2-0BART#6BLEU: 64.55METEOR: 46.51ROUGE: 75.13
kg-to-text-generation-on-webnlg-2-0T5#7BLEU: 64.42METEOR: 46.58ROUGE: 74.77
kg-to-text-generation-on-webnlg-2-0-1JointGT (T5)#5BLEU: 61.01METEOR: 46.32ROUGE: 73.57
kg-to-text-generation-on-webnlg-2-0-1T5#6BLEU: 58.66METEOR: 46.04ROUGE: 73.06
kg-to-text-generation-on-webnlg-2-0-1JointGT (BART)#7BLEU: 58.55METEOR: 45.01ROUGE: 72.31
kg-to-text-generation-on-webnlg-2-0-1BART#8BLEU: 56.65METEOR: 44.51ROUGE: 70.94
kg-to-text-generation-on-webquestionsJointGT (BART)#1BLEU: 30.02METEOR: 32.05ROUGE: 55.6
kg-to-text-generation-on-webquestionsBART#2BLEU: 29.61METEOR: 31.48ROUGE: 55.42
kg-to-text-generation-on-webquestionsJointGT (T5)#4BLEU: 28.95METEOR: 31.29ROUGE: 54.47
kg-to-text-generation-on-webquestionsT5#5BLEU: 28.78METEOR: 30.55ROUGE: 55.12
question-generation-on-grailqa-compositionalJointGT#2METEOR: 36.08BLEU: 31.46FactSpotter: 95.26
question-generation-on-grailqa-iidJointGT#2BLEU: 45.95METEOR: 41.65FactSpotter: 98.62
question-generation-on-grailqa-zero-shotJointGT#1METEOR: 37.69bleu: 32.94FactSpotter: 94.15