Kg To Text Generation On Webquestions
Métriques
BLEU
METEOR
ROUGE
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | BLEU | METEOR | ROUGE | Paper Title | Repository |
|---|---|---|---|---|---|
| T5 | 28.78 | 30.55 | 55.12 | JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs | |
| BART | 29.61 | 31.48 | 55.42 | JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs | |
| SOTA-NPT | 29.45 | 30.96 | 55.45 | Toward Subgraph-Guided Knowledge Graph Question Generation with Graph Neural Networks | |
| JointGT (BART) | 30.02 | 32.05 | 55.6 | JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs | |
| JointGT (T5) | 28.95 | 31.29 | 54.47 | JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs |
0 of 5 row(s) selected.