Recent Advances in Text-to-SQL: A Survey of What We Have and What We Expect

• URL: http://arxiv.org/abs/2208.10099v1
• Date: Mon, 22 Aug 2022 07:18:23 GMT
• Title: Recent Advances in Text-to-SQL: A Survey of What We Have and What We Expect
• Authors: Naihao Deng, Yulong Chen, Yue Zhang
• Abstract summary: Text-to-of has attracted attention from both the natural language processing and database communities. We review recent progress on text-to-of for datasets, methods, and evaluation. We hope that this survey can serve as quick access to existing work and motivate future research.
• Score: 12.445150614650801
• License: http://creativecommons.org/licenses/by-sa/4.0/
• Abstract: 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.

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