- 1th: https://github.com/nudtnlp/tianchi-nl2sql-top1
- 6th:https://github.com/eguilg/nl2sql
- 15th: https://github.com/yscoder-github/nl2sql-tianchi
- https://arxiv.org/pdf/1709.00103.pdf
- https://arxiv.org/pdf/1801.00076.pdf
- https://openreview.net/pdf?id=SkYibHlRb
- https://arxiv.org/pdf/1809.08887.pdf
- https://arxiv.org/pdf/1905.08205.pdf
- https://www.microsoft.com/en-us/research/uploads/prod/2019/03/X_SQL.pdf
- https://github.com/jonjrodriguez/nl2sql
- https://github.com/donglixp/coarse2fine
- https://github.com/benbogin/spider-schema-gnn
-
SyntaxSQLNet: Syntax Tree Networks for Complex and Cross-DomainText-to-SQL Task 11 - Yu et al. 11.2018 Official: (6 commits, 27 stars, 5 forks) https://github.com/taoyds/syntaxSQL
-
Coarse2Fine: Coarse-to-Fine Decoding for Neural Semantic Parsing 6 - Dong et al. 05.2018 Official: (6 commits, 76 stars, 25 forks) https://github.com/donglixp/coarse2fine
-
Execution-guided Decoding: Robust Text-to-SQL Generation with Execution-Guided Decoding 6 - Wang et al. 07.2018 PT-MAML: Natural Language to Structured Query Generation via Meta-Learning - Huang et al. 03.2018 PointerSQL: Pointing out SQL Queries from Text - Wang et al. 03.2018 Official (Microsoft): (3 commits, 21 stars, 7 forks) https://github.com/Microsoft/PointerSQL
-
TypeSQL: Knowledge-based Type-Aware Neural Text-to-SQL Generation 1 - Yu et al. 05.2018 Official: (16 commits, 41 stars, 8 forks) https://github.com/taoyds/typesql
-
Bidirectional Attention for SQL Generation 3 - Guo et al. 12.2017 Official: (16 commits, 3 stars, 4 forks https://github.com/guotong1988/NL2SQL
-
SQLNet: Generating Structured Queries From Natural Language Without Reinforcement Learning 5 - Xu et al. 11.2017 Official: (7 commits, 184 stars, 61 forks) https://github.com/xiaojunxu/SQLNet
-
Language to Logical Form with Neural Attention 1 - Dong et al. Official: (10 commits, 103 stars, 25 forks) https://github.com/donglixp/lang2logic