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Text-to-SQL aims to map natural language questions to SQL queries.
A comprehensive exploration on wikisql with table-aware word contextualization
Wonseok Hwang, Jinyeung Yim, Seunghyun Park, and Minjoon Seo. 2019 · 1902
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X-sql: reinforce schema representation with context
Pengcheng He, Yi Mao, K. Chakrabarti, and W. Chen. 2019 · 1908
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Learning to parse database queries using inductive logic programming
John M. Zelle and Raymond J. Mooney. 1996 · 1996
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
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Donghyun Choi, Myeong Cheol Shin, Eunggyun Kim, and Dong Ryeol Shin. 2020 · 2004
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Learning to map sentences to logical form: Structured classification with probabilistic categorial grammars
Luke S. Zettlemoyer and Michael Collins. 2005 · 2005
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Learning synchronous grammars for semantic parsing with lambda calculus
Yuk Wah Wong and Raymond J. Mooney. 2007 · 2007
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Online learning of relaxed CCG grammars for parsing to logical form
Luke S. Zettlemoyer and Michael Collins. 2007 · 2007
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Constructing an interactive natural language interface for relational databases
Fei Li and H. V. Jagadish. 2014 · 2014
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The Stanford CoreNLP natural language processing toolkit
Christopher Manning, Mihai Surdeanu, John Bauer, Jenny Finkel, Steven Bethard, and David McClosky. 2014 · 2014
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba. 2015 · 2015
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Language to logical form with neural attention
Li Dong and Mirella Lapata. 2016 · 2016
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Deep biaffine attention for neural dependency parsing
Timothy Dozat and Christopher D. Manning. 2017 · 2017
Cited alongside, same era.
Learning a neural semantic parser from user feedback
Srinivasan Iyer, Ioannis Konstas, Alvin Cheung, Jayant Krishnamurthy, and Luke Zettlemoyer. 2017 · 2017
Cited alongside, same era.
Neural semantic parsing with type constraints for semi-structured tables
J. Krishnamurthy, Pradeep Dasigi, and Matt Gardner. 2017 · 2017
Cited alongside, same era.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Ł ukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Cited alongside, same era.
Sqlnet: Generating structured queries from natural language without reinforcement learning
X. Xu, Chang Liu, and D. Song. 2017 · 2017
Cited alongside, same era.
Tabfact: A large-scale dataset for table-based fact verification
Wenhu Chen, Hongmin Wang, Jianshu Chen, Yunkai Zhang, Hong Wang, Shiyang Li, Xiyou Zhou, and William Yang Wang. 2019 · 2019
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Bert: Pre-training of deep bidirectional transformers for language understanding
J. Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Towards complex text-to-SQL in cross-domain database with intermediate representation
Jiaqi Guo, Zecheng Zhan, Yan Gao, Yan Xiao, Jian-Guang Lou, Ting Liu, and Dongmei Zhang. 2019 · 2019
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Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Köpf, Edward Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala. 2019 · 2019
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Seq2sql: Generating structured queries from natural language using reinforcement learning
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Sqlizer: query synthesis from natural language
Navid Yaghmazadeh, YUEPENG WANG, Isil Dillig, and Thomas Dillig. 2017 · 2017
Cited alongside, same era.
Coarse-to-fine decoding for neural semantic parsing
Li Dong and Mirella Lapata. 2018 · 2018
Cited alongside, same era.
Simpler but more accurate semantic dependency parsing
Timothy Dozat and Christopher D. Manning. 2018 · 2018
Cited alongside, same era.
Multi-task learning using uncertainty to weigh losses for scene geometry and semantics
Alex Kendall, Yarin Gal, and R. Cipolla. 2018 · 2018
Cited alongside, same era.
Semantic parsing with syntax- and table-aware sql generation
Yibo Sun, Duyu Tang, Nan Duan, Jianshu Ji, G. Cao, X. Feng, B. Qin, T. Liu, and M. Zhou. 2018 · 2018
Cited alongside, same era.
Robust text-to-sql generation with execution-guided decoding
C. Wang, Kedar Tatwawadi, Marc Brockschmidt, Po-Sen Huang, Y. Mao, Oleksandr Polozov, and Rishabh Singh. 2018 · 2018
Cited alongside, same era.
Typesql: Knowledge-based type-aware neural text-to-sql generation
Tao Yu, Z. Li, Zilin Zhang, Rui Zhang, and Dragomir R. Radev. 2018a
Cited in the paper.
Victor Zhong, Caiming Xiong, and R. Socher. 2017 · 2019
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Tapas: Weakly supervised table parsing via pre-training
Jonathan Herzig, P. Nowak, Thomas Müller, Francesco Piccinno, and Julian Martin Eisenschlos. 2020 · 2020
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Hybrid ranking network for text-to-sql
Qin Lyu, K. Chakrabarti, S. Hathi, Souvik Kundu, Jianwen Zhang, and Zheng Chen. 2020 · 2020
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Mention extraction and linking for sql query generation
Jianqiang Ma, Zeyu Yan, Shuai Pang, Y. Zhang, and Jianping Shen. 2020 · 2020
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RAT-SQL: Relation-aware schema encoding and linking for text-to-SQL parsers
Bailin Wang, Richard Shin, Xiaodong Liu, Oleksandr Polozov, and Matthew Richardson. 2020 · 2020
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Program enhanced fact verification with verbalization and graph attention network
Xiaoyu Yang, Feng Nie, Yufei Feng, Quan Liu, Zhigang Chen, and Xiaodan Zhu. 2020 · 2020
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Recparser: A recursive semantic parsing framework for text-to-sql task
Yu Zeng, Yan Gao, Jiaqi Guo, B. Chen, Qian Liu, Jian-Guang Lou, F. Teng, and Dongmei Zhang. 2020 · 2020
Later among the works it cites.