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- W2904865825 abstract "Recent advances in neural code generation have incorporated syntax to improve the generation of the target code based on the user's request in natural language. We adapt the model of [1] to the Natural Language Interface to Databases (NLIDB) problem by taking into account the database schema. We evaluate our model on the recently introduced WIKISQL and SENLIDB datasets. Our results show that the syntax-guided model outperforms a simple sequence-to-sequence (SEQ2SEQ) baseline on WIKISQL, but has trouble with the SENLIDB dataset due to its complexity." @default.
- W2904865825 created "2018-12-22" @default.
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- W2904865825 date "2018-11-01" @default.
- W2904865825 modified "2023-10-18" @default.
- W2904865825 title "A Syntax-Guided Neural Model for Natural Language Interfaces to Databases" @default.
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- W2904865825 doi "https://doi.org/10.1109/ictai.2018.00043" @default.
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