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GTR: An SQL Generator With Transition Representation in Cross-Domain Database Systems.

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    This study introduces GTR, a novel system for converting natural language (NL) to SQL queries. GTR uses a transition representation (TR) bridge to improve accuracy in cross-domain database systems.

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    Area of Science:

    • Database Management
    • Artificial Intelligence
    • Natural Language Processing

    Background:

    • Automated data retrieval from databases using natural language (NL) is crucial for autonomous systems.
    • Existing NL-to-SQL techniques struggle with NL-SQL mismatches and out-of-domain words, hindering accurate query generation.
    • End-to-end NL-to-SQL conversion remains challenging due to these complexities.

    Purpose of the Study:

    • To propose GTR, an automatic SQL generator utilizing a transition representation (TR) for improved NL-to-SQL conversion in cross-domain database systems.
    • To address the limitations of existing methods in handling NL-SQL expression mismatches and out-of-domain vocabulary.
    • To enhance the accuracy and efficiency of generating SQL queries from natural language questions.

    Main Methods:

    • GTR employs a three-step process: learning NL-DB schema relations, synthesizing a TR using a grammar-based model, and predicting SQL from the TR.
    • The transition representation acts as an intermediate 'bridge' to align NL expressions with SQL implementation details.
    • Experiments were conducted on the WikiSQL and Spider datasets to evaluate GTR's performance.

    Main Results:

    • GTR achieved 58.32% exact matching accuracy on the Spider dataset.
    • GTR achieved 71.29% exact matching accuracy on the WikiSQL dataset.
    • The proposed GTR method outperforms existing state-of-the-art methods on both datasets.

    Conclusions:

    • The GTR system effectively generates SQL queries from natural language by leveraging a transition representation.
    • The use of a TR significantly improves the accuracy of NL-to-SQL conversion, particularly in cross-domain scenarios.
    • GTR represents a significant advancement in autonomous database systems and accessible data querying.