Improving Text-to-SQL with a Hybrid Decoding Method

Text-to-SQL is a task that converts natural language questions into SQL queries. Recent text-to-SQL models employ two decoding methods: sketch-based and generation-based, but each has its own shortcomings. The sketch-based method has limitations in performance as it does not reflect the relevance be...

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Hlavní autoři: Geunyeong Jeong, Mirae Han, Seulgi Kim, Yejin Lee, Joosang Lee, Seongsik Park, Harksoo Kim
Médium: Článek
Jazyk:English
Vydáno: MDPI AG 2023-03-01
Edice:Entropy
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On-line přístup:https://www.mdpi.com/1099-4300/25/3/513