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Models/SyntaxSQL-con

SyntaxSQL-con

Reported on 6 benchmarks across 3 tasks · 2 papers · 4 SOTA

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

Natural Language Processing4 results

Semantic ParsingonSParC
interaction match accuracy· 2018-10-11
5.2
best: 45.2 (RASAT+PICARD)
SOTA
SyntaxSQLNet: Syntax Tree Networks for Complex and Cross-DomainText-to-SQL Task arXiv:1810.05237
Semantic ParsingonSParC
question match accuracy· 2018-10-11
20.2
best: 67.7 (RASAT+PICARD)
SOTA
SyntaxSQLNet: Syntax Tree Networks for Complex and Cross-DomainText-to-SQL Task arXiv:1810.05237
Text-To-SQLonSParC
interaction match accuracy· 2018-10-11
5.2
best: 45.2 (RASAT+PICARD)
SOTA
SyntaxSQLNet: Syntax Tree Networks for Complex and Cross-DomainText-to-SQL Task arXiv:1810.05237
Text-To-SQLonSParC
question match accuracy· 2018-10-11
20.2
best: 67.7 (RASAT+PICARD)
SOTA
SyntaxSQLNet: Syntax Tree Networks for Complex and Cross-DomainText-to-SQL Task arXiv:1810.05237

Speech2 results

DialogueonCoSQL
interaction match accuracy· 2019-09-11
2.2
best: 26.5 (RASAT+PICARD)
CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases arXiv:1909.05378
DialogueonCoSQL
question match accuracy· 2019-09-11
14.1
best: 55.7 (RASAT+PICARD)
CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases arXiv:1909.05378