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Translating Natural Language Queries to SQL Using the T5 Model

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arxiv 2312.12414 v1 pith:OGL6M2ES submitted 2023-12-12 cs.DB cs.AIcs.LG

Albert Wong , Lien Pham , Young Lee , Shek Chan , Razel Sadaya , Youry Khmelevsky , Mathias Clement , Florence Wing Yau Cheng
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Joe Mahony Michael Ferri
This is my paper · ORCID
classification cs.DBcs.AIcs.LG
keywords modellanguagebasisdevelopmentimplementedmodelsnaturalother
verification ladder T0 review T1 audit T2 compute T3 formal
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This paper presents the development process of a natural language to SQL model using the T5 model as the basis. The models, developed in August 2022 for an online transaction processing system and a data warehouse, have a 73\% and 84\% exact match accuracy respectively. These models, in conjunction with other work completed in the research project, were implemented for several companies and used successfully on a daily basis. The approach used in the model development could be implemented in a similar fashion for other database environments and with a more powerful pre-trained language model.

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