| Content Enhanced BERT-based Text-to-SQL Generation | ✓ Link | 89.2 | 83.7 | NL2SQL-RULE | 2019-10-16 |
| TypeSQL: Knowledge-based Type-Aware Neural Text-to-SQL Generation | ✓ Link | 82.6 | | TypeSQL+TC (Yu et al., 2018)+ | 2018-04-25 |
| TRANX: A Transition-based Neural Abstract Syntax Parser for Semantic Parsing and Code Generation | ✓ Link | 78.6 | 68.6 | Tranx | 2018-10-05 |
| Semantic Parsing with Syntax- and Table-Aware SQL Generation | | 74.6 | 61.0 | STAMP+RL (Sun et al., 2018)+ | 2018-04-23 |
| Semantic Parsing with Syntax- and Table-Aware SQL Generation | | 74.4 | 60.7 | STAMP (Sun et al., 2018)+ | 2018-04-23 |
| TypeSQL: Knowledge-based Type-Aware Neural Text-to-SQL Generation | ✓ Link | 73.5 | | TypeSQL (Yu et al., 2018) | 2018-04-25 |
| Natural Language to Structured Query Generation via Meta-Learning | ✓ Link | 68.0 | 62.8 | PT-MAML (Huang et al., 2018) | 2018-03-02 |
| Bidirectional Attention for SQL Generation | ✓ Link | 62.5 | 69 | Bidirectional Attention for SQL Generation | 2017-12-30 |
| Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning | ✓ Link | 59.4 | 48.3 | Seq2SQL (Zhong et al., 2017) | 2017-08-31 |
| Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning | ✓ Link | 35.9 | 23.4 | Seq2Seq (Zhong et al., 2017) | 2017-08-31 |