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Kg To Text Generation On Webnlg 2 0

Metrics

BLEU
METEOR
ROUGE

Results

Performance results of various models on this benchmark

Paper TitleRepository
GAP - Me,r+γ66.2-76.36GAP: A Graph-aware Language Model Framework for Knowledge Graph-to-Text Generation
GAP - Me,re--76.22GAP: A Graph-aware Language Model Framework for Knowledge Graph-to-Text Generation
JointGT (BART)65.9247.1576.10JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs
JointGT (BART) - w/ JointGTPretrain65.9247.1576.1GAP: A Graph-aware Language Model Framework for Knowledge Graph-to-Text Generation
JointGT (T5)66.1447.2575.91JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs
JointGT (BART) - w/ BARTPretrain64.646.7775.74GAP: A Graph-aware Language Model Framework for Knowledge Graph-to-Text Generation
BART64.5546.5175.13JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs
T564.4246.5874.77JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs
KGPT64.1146.3074.57KGPT: Knowledge-Grounded Pre-Training for Data-to-Text Generation
KGPT w/o pretrain62.344.3373GAP: A Graph-aware Language Model Framework for Knowledge Graph-to-Text Generation
KGPT w/o pretrain62.344.3373KGPT: Knowledge-Grounded Pre-Training for Data-to-Text Generation
GCN60.842.7671.13GAP: A Graph-aware Language Model Framework for Knowledge Graph-to-Text Generation
SOTA-NPT 614271.0Handling Rare Items in Data-to-Text Generation-
0 of 13 row(s) selected.
Kg To Text Generation On Webnlg 2 0 | SOTA | HyperAI