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Translating Natural Language Queries to SQL Using the T5 Model

arXiv 2312.12414 ↗First posted 12 Dec 2023cs.DB cs.AI cs.LGcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 34 of its 60 references that are in the map. First posted on arXiv 12 Dec 2023.

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References · 34

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22 more
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