Papers by Vera Davydova

1 papers
PAUQ: Text-to-SQL in Russian (2022.findings-emnlp)

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Challenge: Semantic parsing is an important task that allows to democratize human-computer interaction.
Approach: They construct and complement a Russian text-to-SQL dataset by integrating a spider query with a RAT-SqL and BRIDGE database.
Outcome: The proposed datasets show that they perform well with monolingual training and improved accuracy in multilingual scenarios.

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