Abstract: Text-to-SQL is the task of converting a natural language utterance plus the corresponding database schema into a SQL program. The inputs naturally form a heterogeneous graph while the output ...

Federal employees are experiencing disruptions in the workplace at a rate far higher than the national average — and that’s leading to increases in stress and loneliness, as well as a decline in ...

Microsoft has released the first preview of SQL Server Management Studio (SSMS) 22. The preview, announced on September 9, can be installed side-by-side with earlier releases, including SSMS 21, which ...

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Add a description, image, and links to the sql-syntax topic page so that developers can more easily learn about it.

Mikeie Reiland is a staff writer for Education at Forbes Advisor. Before coming to Forbes Advisor, he wrote magazine journalism for publications like the Oxford American, Bitter Southerner, and Gravy.

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Current methodologies for Text-to-SQL primarily rely on deep learning models, particularly Sequence-to-Sequence (Seq2Seq) models, which have become mainstream due to their ability to map natural ...

In computational linguistics, the interface between human language and machine understanding of databases is a critical research area. The core challenge lies in enabling machines to interpret natural ...