SE-HCL: Schema Enhanced Hybrid Curriculum Learning for Multi-Turn Text-to-SQL

Existing multi-turn Text-to-SQL approaches, mainly use data in a randomized order when training the model, ignoring the rich structural information contained in the dialog and schema. In this paper, we propose to use curriculum learning (CL) to better leverage the curriculum structure of schema, que...

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Bibliographische Detailangaben
Hauptverfasser: Yiyun Zhang, Sheng'an Zhou, Gengsheng Huang
Format: Artikel
Sprache:English
Veröffentlicht: IEEE 2024-01-01
Schriftenreihe:IEEE Access
Schlagworte:
Online Zugang:https://ieeexplore.ieee.org/document/10433573/