arXiv · 2312.12414
Translating Natural Language Queries to SQL Using the T5 Model
Abstract
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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Albert Wong, Lien Pham, Young Lee, Shek Chan, Razel Sadaya, Youry Khmelevsky, Mathias Clement, Florence Wing Yau Cheng, Joe Mahony, Michael Ferri. 2023-12-12. Translating Natural Language Queries to SQL Using the T5 Model. https://arxiv.org/abs/2312.12414
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