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GP: Context-free Grammar Pre-training for Text-to-SQL Parsers

25 January 2021

Papers citing "GP: Context-free Grammar Pre-training for Text-to-SQL Parsers"

6 / 6 papers shown

T5QL: Taming language models for SQL generationIEEE Games Entertainment Media Conference (GEM), 2022

Samuel Arcadinho

David Oliveira Aparício

Hugo Veiga

António Alegria

239

21 Sep 2022

Hierarchical Neural Data Synthesis for Semantic Parsing

Wei Yang

Peng Xu

Yanshuai Cao

165

04 Dec 2021

Prefix-to-SQL: Text-to-SQL Generation from Incomplete User Questions

202

15 Sep 2021

Exploring Underexplored Limitations of Cross-Domain Text-to-SQL Generalization

Yujian Gan

Xinyun Chen

Matthew Purver

229

120

11 Sep 2021

Optimizing Deeper Transformers on Small DatasetsAnnual Meeting of the Association for Computational Linguistics (ACL), 2020

352

30 Dec 2020

SmBoP: Semi-autoregressive Bottom-up Semantic ParsingNorth American Chapter of the Association for Computational Linguistics (NAACL), 2020

Ohad Rubin

Jonathan Berant

404

165

23 Oct 2020