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Data Augmentation with Hierarchical SQL-to-Question Generation for Cross-domain Text-to-SQL Parsing

Research article (Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021) · cited 22× · AI/ML
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Data Augmentation with Hierarchical SQL-to-Question Generation for Cross-domain Text-to-SQL Parsing

Summary

Data Augmentation with Hierarchical SQL-to-Question Generation for Cross-domain Text-to-SQL Parsing is a scholarly article[1].

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  • Data Augmentation with Hierarchical SQL-to-Question Generation for Cross-domain Text-to-SQL Parsing's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

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Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Data Augmentation with Hierarchical SQL-to-Question Generation for Cross-domain Text-to-SQL Parsing. Retrieved May 24, 2026, from https://4ort.xyz/entity/data-augmentation-with-hierarchical-sql-to-question-generation-for-cross-domain-text-to-sql-parsing
MLA “Data Augmentation with Hierarchical SQL-to-Question Generation for Cross-domain Text-to-SQL Parsing.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/data-augmentation-with-hierarchical-sql-to-question-generation-for-cross-domain-text-to-sql-parsing.
BibTeX @misc{4ortxyz_data-augmentation-with-hierarchical-sql-to-question-generation-for-cross-domain-text-to-sql-parsing_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Data Augmentation with Hierarchical SQL-to-Question Generation for Cross-domain Text-to-SQL Parsing}}, year = {2026}, url = {https://4ort.xyz/entity/data-augmentation-with-hierarchical-sql-to-question-generation-for-cross-domain-text-to-sql-parsing}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Data Augmentation with Hierarchical SQL-to-Question Generation for Cross-domain Text-to-SQL Parsing — https://4ort.xyz/entity/data-augmentation-with-hierarchical-sql-to-question-generation-for-cross-domain-text-to-sql-parsing (retrieved 2026-05-24)

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