Improving Text-to-SQL with a Hybrid Decoding Method

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...

وصف كامل

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Geunyeong Jeong, Mirae Han, Seulgi Kim, Yejin Lee, Joosang Lee, Seongsik Park, Harksoo Kim
التنسيق: مقال
اللغة:English
منشور في: MDPI AG 2023-03-01
سلاسل:Entropy
الموضوعات:
semantic parsing
text-to-SQL
pointer network
natural language processing
الوصول للمادة أونلاين:https://www.mdpi.com/1099-4300/25/3/513

الانترنت

https://www.mdpi.com/1099-4300/25/3/513

مواد مشابهة