In Natural Language Interfaces to Databases systems, the text-to-SQL technique allows users to query databases by using natural language questions. Though significant progress in this area has been made recently, most parsers may fall short when they are deployed in real systems. One main reason stems from the difficulty of fully understanding the users' natural language questions. In this paper, we include human in the loop and present a novel parser-independent interactive approach (PIIA) that interacts with users using multi-choice questions and can easily work with arbitrary parsers. Experiments were conducted on two cross-domain datasets, the WikiSQL and the more complex Spider, with five state-of-the-art parsers. These demonstrated that PIIA is capable of enhancing the text-to-SQL performance with limited interaction turns by using both simulation and human evaluation.

该研究论文提出了一种名为PIIA的交互式方法，它使用多项选择题与用户交互，以提高自然语言查询数据库的性能，并且能够与多个解析器一起使用。实验结果表明，PIIA可以显著提高text-to-SQL的性能。

你的意思是什么？”——一种独立于解析器的交互式方法，用于增强文本到SQL的能力