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Recent years have seen great success in the use of neural seq2seq models on the text-to-SQL task.
Expanding the scope of the atis task: The atis-3 corpus
Deborah A. Dahl, Madeleine Bates, Michael Brown, William Fisher, Kate Hunicke-Smith, David Pallett, Christine Pao, Alexander Rudnicky, and Elizabeth Shriberg. 1994 · 1994
Earlier work this paper cites.
Learning to parse database queries using inductive logic programming
John M. Zelle and Raymond J. Mooney. 1996 · 1996
Earlier work this paper cites.
A survey of named entity recognition and classification
David Nadeau and Satoshi Sekine. 2007 · 2007
Earlier work this paper cites.
Language to logical form with neural attention
Li Dong and Mirella Lapata. 2016 · 2016
Earlier work this paper cites.
Attentive pooling networks
Cícero Nogueira dos Santos, Ming Tan, Bing Xiang, and Bowen Zhou. 2016 · 2016
Earlier work this paper cites.
Towards zero-shot frame semantic parsing for domain scaling
Ankur Bapna, Gokhan Tur, Dilek Hakkani-Tur, and Larry Heck. 2017 · 2017
Earlier work this paper cites.
Learning a neural semantic parser from user feedback
Srinivasan Iyer, Ioannis Konstas, Alvin Cheung, Jayant Krishnamurthy, and Luke Zettlemoyer. 2017 · 2017
Earlier work this paper cites.
Learning a natural language interface with neural programmer
Arvind Neelakantan, Quoc V Le, Martin Abadi, Andrew MacCallum, and Dario Amodei. 2017 · 2017
Cited alongside, same era.
Bidirectional attention flow for machine comprehension
MinJoon Seo, Aniruddha Kembhavi, Ali Farhadi, and Hannaneh Hajishirzi. 2017 · 2017
Cited alongside, same era.
Incsql: Training incremental text-to-sql parsers with non-deterministic oracles
Tianze Shi, Kedar Tatwawadi, Kaushik Chakrabarti, Yi Mao, and and Chen Weizhu Polozov, Oleksandr. 2017 · 2017
Cited alongside, same era.
Sqlnet: Generating structured queries from natural language without reinforcement learning
Xiaojun Xu, Chang Liu, and Dawn Song. 2017 · 2017
Cited alongside, same era.
A syntactic neural model for general-purpose code generation
Pengcheng Yin and Graham Neubig. 2017 · 2017
Cited alongside, same era.
Coarse-to-fine decoding for neural semantic parsing
Li Dong and Mirella Lapata. 2018 · 2018
Later among the works it cites.
Improving text-to-sql evaluation methodology
Cathetine Finegan-Dollak, Jonathan K. Kummerfeld, Li Zhang, Karthik Ramanathan, Sesh Sadasivam, Rui Zhang, and Dragomir Radev. 2018 · 2018
Later among the works it cites.
Decoupling structure and lexicon for zero-shot semantic parsing
Jonathan Herzig and Jonathan Berant. 2018 · 2018
Later among the works it cites.
Natural language to structured query generation via meta-learning
Po-Sen Huang, Chenglong Wang, Rishabh Singh, Wen-tau Yih, and Xiaodong He. 2018 · 2018
Later among the works it cites.
Typesql: knowledge-based type-aware neural text-to-sql generation
Tao Yu, Zifan Li, Zilin Zhang, Rui Zhang, and Dragomir Radev. 2018a · 2018
Later among the works it cites.
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Seq2sql: Generating structured queries from natural language using reinforcement learning
Victor Zhong, Caiming Xiong, and Richard Socher. 2017 · 2017
Cited alongside, same era.
An encoder-decoder framework translating natural language to database queries
Ruichu Cai, Boyan Xu, Xiaoyan Yang, Zhenjie Zhang, and Zijian Li. 2018 · 2018
Cited alongside, same era.
Synthesizing highly expressive sql queries from input-output examples
Chenglong Wang, Alvin Cheung, and Rastislav Bodik. 2017a
Cited in the paper.
Robust text-to-sql generation with execution-guided decoding
Chenglong Wang, Tatwawadi Kedar, Brockschmidt Marc, Huang Po-Sen, Mao Yi, Polozov Oleksandr, and Singh Rishabh. 2017b
Cited in the paper.
Spider: A large-scale human-labeled dataset for complex and cross-domain semantic parsing and text-to-sql task
Tao Yu, Rui Zhang, Kai Yang, Michihiro Yasunaga, Dongxu Wang, Zifan Li, James Ma, Irene Li, Qingning Yao, Shanelle Roman, Zilin Zhang, and Dragomir Radev. 2018b · 2018
Later among the works it cites.