Review of question answering technology based on Text to SQL

Text to SQL technology is to convert natural language problems into corresponding SQL statements to help users query massive data from the database. This paper introduces the construction of text to SQL data set, the analysis of various technologies of the task model and the application fields based on the technology. It is found that the current model still has a lot of room for improvement for wikisql, spider and other large-scale annotation data sets, while there is little research on Chinese text to SQL technology. Finally, it summarizes some problems that should be paid attention to in future research.