Type- and Content-Driven Synthesis of SQL Queries from Natural Language

@article{Yaghmazadeh2017TypeAC,
  title={Type- and Content-Driven Synthesis of SQL Queries from Natural Language},
  author={Navid Yaghmazadeh and Yuepeng Wang and Isil Dillig and Thomas Dillig},
  journal={CoRR},
  year={2017},
  volume={abs/1702.01168}
}
This paper presents a new technique for automatically synthesizing SQL queries from natural language. Our technique is fully automated, works for any database without requiring additional customization, and does not require users to know the underlying database schema. Our method achieves these goals by combining natural language processing, program synthesis, and automated program repair. Given the user’s English description, our technique first uses semantic parsing to generate a query sketch… CONTINUE READING