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Research on parsing language to SQL has largely ignored the structure of the database (DB) schema, either because the DB was very simple, or because it was observed at both training and test time.
Grammar-based neural text-to-sql generation
K. Lin, B. Bogin, M. Neumann, J. Berant, and M. Gardner. 2019 · 1905
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Learning to parse database queries using inductive logic programming
M. Zelle and R. J. Mooney. 1996 · 1996
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Long short-term memory
S. Hochreiter and J. Schmidhuber. 1997 · 1997
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Learning to map sentences to logical form: Structured classification with probabilistic categorial grammars
L. S. Zettlemoyer and M. Collins. 2005 · 2005
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Learning phrase representations using RNN encoder-decoder for statistical machine translation
K. Cho, B. van Merrienboer, C. Gulcehre, D. Bahdanau, F. Bougares, H. Schwenk, and Y. Bengio. 2014 · 2014
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Neural machine translation by jointly learning to align and translate
D. Bahdanau, K. Cho, and Y. Bengio. 2015 · 2015
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Gated graph sequence neural networks
Y. Li, D. Tarlow, M. Brockschmidt, and R. Zemel. 2016 · 2016
Cited alongside, same era.
Sequence-based structured prediction for semantic parsing
C. Xiao, M. Dymetman, and C. Gardent. 2016 · 2016
Cited alongside, same era.
Learning structured natural language representations for semantic parsing
J. Cheng, S. Reddy, V. Saraswat, and M. Lapata. 2017 · 2017
Cited alongside, same era.
Learning a neural semantic parser from user feedback
S. Iyer, I. Konstas, A. Cheung, J. Krishnamurthy, and L. Zettlemoyer. 2017 · 2017
Cited alongside, same era.
Neural semantic parsing with type constraints for semi-structured tables
J. Krishnamurthy, P. Dasigi, and M. Gardner. 2017 · 2017
Cited alongside, same era.
Abstract syntax networks for code generation and semantic parsing
M. Rabinovich, M. Stern, and D. Klein. 2017 · 2017
A syntactic neural model for general-purpose code generation
P. Yin and G. Neubig. 2017 · 2017
Later among the works it cites.
Seq2sql: Generating structured queries from natural language using reinforcement learning
V. Zhong, C. Xiong, and R. Socher. 2017 · 2017
Later among the works it cites.
Improving text-to-sql evaluation methodology
C. Finegan-Dollak, J. K. Kummerfeld, L. Zhang, K. Ramanathan, S. Sadasivam, R. Zhang, and D. Radev. 2018 · 2018
Later among the works it cites.
AllenNLP: A deep semantic natural language processing platform
M. Gardner, J. Grus, M. Neumann, O. Tafjord, P. Dasigi, N. Liu, M. Peters, M. Schmitz, and L. Zettlemoyer. 2018 · 2018
Later among the works it cites.
Modeling semantics with gated graph neural networks for knowledge base question answering
D. Sorokin and I. Gurevych. 2018 · 2018
Later among the works it cites.
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Cited alongside, same era.
SyntaxSQLNet: Syntax tree networks for complex and cross-domaintext-to-SQL task
T. Yu, M. Yasunaga, K. Yang, R. Zhang, D. Wang, Z. Li, and D. Radev. 2018a
Cited in the paper.
Spider: A large-scale human-labeled dataset for complex and cross-domain semantic parsing and text-to-SQL task
T. Yu, R. Zhang, K. Yang, M. Yasunaga, D. Wang, Z. Li, J. Ma, I. Li, Q. Yao, S. Roman, Z. Zhang, and D. Radev. 2018b
Cited in the paper.
Question answering by reasoning across documents with graph convolutional networks
N. De Cao, W. Aziz, and I. Titov. 2019 · 2019
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