Papers with automated training-data augmentation technique

1 papers
Addressing Limitations of Encoder-Decoder Based Approach to Text-to-SQL (2022.coling-1)

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Challenge: Existing attempts on Text-to-SQL task show a dramatic decline in performance for new databases.
Approach: They propose a hybrid system that integrates rule-based and deep learning components to improve model accuracy.
Outcome: The proposed system achieves double-digit percentage improvement for non-Spider databases.

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