论文标题
文本到SQL的最新进展：对我们拥有的和期望的调查
Recent Advances in Text-to-SQL: A Survey of What We Have and What We Expect
论文作者
论文摘要
文本到SQL引起了自然语言处理和数据库社区的关注，因为它能够将自然语言中的语义转换为SQL查询及其在构建自然语言接口到数据库系统中的实际应用。文本到SQL的主要挑战在于编码自然话语的含义，解码为SQL查询，并翻译这两种形式之间的语义。最近的进步已经解决了这些挑战。但是，对于这项任务仍缺乏全面的调查。为此，我们回顾了数据集，方法和评估的文本到SQL的最新进展，并提供了这项系统的调查，解决了上述挑战并讨论潜在的未来方向。我们希望这项调查可以作为快速获取现有工作并激发未来的研究。
Text-to-SQL has attracted attention from both the natural language processing and database communities because of its ability to convert the semantics in natural language into SQL queries and its practical application in building natural language interfaces to database systems. The major challenges in text-to-SQL lie in encoding the meaning of natural utterances, decoding to SQL queries, and translating the semantics between these two forms. These challenges have been addressed to different extents by the recent advances. However, there is still a lack of comprehensive surveys for this task. To this end, we review recent progress on text-to-SQL for datasets, methods, and evaluation and provide this systematic survey, addressing the aforementioned challenges and discussing potential future directions. We hope that this survey can serve as quick access to existing work and motivate future research.
