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Code Generation On Wikisql

評価指標

Exact Match Accuracy
Execution Accuracy

評価結果

このベンチマークにおける各モデルのパフォーマンス結果

モデル名
Exact Match Accuracy
Execution Accuracy
Paper TitleRepository
Bidirectional Attention for SQL Generation6962.5Bidirectional Attention for SQL Generation-
TypeSQL+TC (Yu et al., 2018)+-82.6TypeSQL: Knowledge-based Type-Aware Neural Text-to-SQL Generation-
Seq2SQL (Zhong et al., 2017)48.359.4Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning-
NL2SQL-RULE83.789.2Content Enhanced BERT-based Text-to-SQL Generation-
Tranx68.678.6TRANX: A Transition-based Neural Abstract Syntax Parser for Semantic Parsing and Code Generation-
Seq2Seq (Zhong et al., 2017)23.435.9Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning-
PT-MAML (Huang et al., 2018)62.868.0Natural Language to Structured Query Generation via Meta-Learning-
STAMP+RL (Sun et al., 2018)+61.074.6Semantic Parsing with Syntax- and Table-Aware SQL Generation-
STAMP (Sun et al., 2018)+60.774.4Semantic Parsing with Syntax- and Table-Aware SQL Generation-
TypeSQL (Yu et al., 2018)-73.5TypeSQL: Knowledge-based Type-Aware Neural Text-to-SQL Generation-
0 of 10 row(s) selected.
Code Generation On Wikisql | SOTA | HyperAI超神経