Seq2SQL (Zhong et al., 2017)

Reported on 2 benchmarks across 1 task · 1 paper · 2 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing2 results

Code GenerationonWikiSQL
Exact Match Accuracy· 2017-08-31
48.3
best: 83.7 (NL2SQL-RULE)
SOTA
Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning arXiv:1709.00103
Code GenerationonWikiSQL
Execution Accuracy· 2017-08-31
59.4
best: 89.2 (NL2SQL-RULE)
SOTA
Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning arXiv:1709.00103