Semantic Parsing On Wikisql 1
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | 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 | - |
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