Semantic Parsing On Wikisql 1
Métriques
Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | Accuracy | Paper Title | Repository |
|---|---|---|---|
| NL2SQL-BERT | 89 | Content Enhanced BERT-based Text-to-SQL Generation | |
| TAPAS-Large (weak supervision) | - | TAPAS: Weakly Supervised Table Parsing via Pre-training | |
| CABINET | - | CABINET: Content Relevance based Noise Reduction for Table Question Answering | |
| TAPEX-Large (weak supervision) | - | TAPEX: Table Pre-training via Learning a Neural SQL Executor | |
| ReasTAP-Large (weak supervision) | - | ReasTAP: Injecting Table Reasoning Skills During Pre-training via Synthetic Reasoning Examples | - |
0 of 5 row(s) selected.