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Text-to-SQL has attracted attention from both the natural language processing and database communities because of its ability to convert the semantics in natural language into SQL queries and its practical application in building natural language interfaces to database systems.
A comprehensive exploration on WikiSQL with table-aware word contextualization
Wonseok Hwang, Jinyeong Yim, Seunghyun Park, and Minjoon Seo. 2019 · 1902
Earlier work this paper cites.
X-SQL: reinforce schema representation with context
Pengcheng He, Yi Mao, Kaushik Chakrabarti, and Weizhu Chen. 2019 · 1908
Earlier work this paper cites.
Content enhanced BERT-based text-to-SQL generation
Tong Guo and Huilin Gao. 2019 · 1910
Earlier work this paper cites.
Byte-pair encoding for text-to-SQL generation
Samuel Müller and Andreas Vlachos. 2019 · 1910
Earlier work this paper cites.
Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J Liu. 2019 · 1910
Earlier work this paper cites.
A relational model of data for large shared data banks
E. F. Codd. 1970 · 1970
Earlier work this paper cites.
The lunar sciences natural language information system
W. Woods, Ronald Kaplan, and Bonnie Webber. 1972 · 1972
Earlier work this paper cites.
Progress in natural language understanding: an application to lunar geology
William A Woods. 1973 · 1973
Earlier work this paper cites.
CoSQL: A conversational text-to-SQL challenge towards cross-domain natural language interfaces to databases
Tao Yu, Rui Zhang, Heyang Er, Suyi Li, Eric Xue, Bo Pang, Xi Victoria Lin, Yi Chern Tan, Tianze Shi, Zihan Li, Youxuan Jiang, Michihiro Yasunaga, Sungrok Shim, Tao Chen, Alexander Fabbri, Zifan Li, Luyao Chen, Yuwen Zhang, Shreya Dixit, Vincent Zhang, Caiming Xiong, Richard Socher, Walter Lasecki, and Dragomir Radev. 2019a · 1979
Earlier work this paper cites.
The ATIS spoken language systems pilot corpus
Charles T. Hemphill, John J. Godfrey, and George R. Doddington. 1990 · 1990
Earlier work this paper cites.
Evaluation of spoken language systems: the ATIS domain
P. J. Price. 1990 · 1990
Earlier work this paper cites.
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.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
Earlier work this paper cites.
Automated construction of database interfaces: Intergrating statistical and relational learning for semantic parsing
Lappoon R. Tang and Raymond J. Mooney. 2000 · 2000
Earlier work this paper cites.
Bertrand-dr: Improving text-to-SQL using a discriminative re-ranker
Amol Kelkar, Rohan Relan, Vaishali Bhardwaj, Saurabh Vaichal, Chandra Khatri, and Peter Relan. 2020 · 2002
Earlier work this paper cites.
Towards a theory of natural language interfaces to databases
Ana-Maria Popescu, Oren Etzioni, and Henry Kautz. 2003 · 2003
Earlier work this paper cites.
Recent advances in SQL query generation: A survey
Jovan Kalajdjieski, Martina Toshevska, and Frosina Stojanovska. 2020 · 2005
Earlier work this paper cites.
Contextual phenomena and thematic relations in database QA dialogues: results from a Wizard-of-Oz experiment
Núria Bertomeu, Hans Uszkoreit, Anette Frank, Hans-Ulrich Krieger, and Brigitte Jörg. 2006 · 2006
Earlier work this paper cites.
Tableqa: a large-scale Chinese text-to-SQL dataset for table-aware SQL generation
Ningyuan Sun, Xuefeng Yang, and Yunfeng Liu. 2020 · 2006
Earlier work this paper cites.
Hybrid ranking network for text-to-SQL
Qin Lyu, Kaushik Chakrabarti, Shobhit Hathi, Souvik Kundu, Jianwen Zhang, and Zheng Chen. 2020 · 2008
Earlier work this paper cites.
ColloQL: Robust cross-domain text-to-SQL over search queries
Karthik Radhakrishnan, Arvind Srikantan, and Xi Victoria Lin. 2020 · 2010
Earlier work this paper cites.
Yusen Zhang, Xiangyu Dong, Shuaichen Chang, Tao Yu, Peng Shi, and Rui Zhang. 2020 · 2010
Earlier work this paper cites.
SeqGenSQL–a robust sequence generation model for structured query language
Ning Li, Bethany Keller, Mark Butler, and Daniel Cer. 2020a · 2011
Earlier work this paper cites.
Learning contextual representations for semantic parsing with generation-augmented pre-training
Peng Shi, Patrick Ng, Zhiguo Wang, Henghui Zhu, Alexander Hanbo Li, Jun Wang, Cicero Nogueira dos Santos, and Bing Xiang. 2020a · 2012
Earlier work this paper cites.
Practical bayesian optimization of machine learning algorithms
Jasper Snoek, Hugo Larochelle, and Ryan P. Adams. 2012 · 2012
Earlier work this paper cites.
PPDB: The paraphrase database
Juri Ganitkevitch, Benjamin Van Durme, and Chris Callison-Burch. 2013 · 2013
Earlier work this paper cites.
Constructing an interactive natural language interface for relational databases
Fei Li and Hosagrahar V Jagadish. 2014 · 2014
Earlier work this paper cites.
A rule based approach for NLP based query processing
Tanzim Mahmud, KM Azharul Hasan, Mahtab Ahmed, and Thwoi Hla Ching Chak. 2015 · 2015
Earlier work this paper cites.
Compositional semantic parsing on semi-structured tables
Panupong Pasupat and Percy Liang. 2015 · 2015
Earlier work this paper cites.
Pointer networks
Oriol Vinyals, Meire Fortunato, and Navdeep Jaitly. 2015 · 2015
Earlier work this paper cites.
Language to logical form with neural attention
Li Dong and Mirella Lapata. 2016 · 2016
Earlier work this paper cites.
Gated graph sequence neural networks
Yujia Li, Daniel Tarlow, Marc Brockschmidt, and Richard S. Zemel. 2016 · 2016
Earlier work this paper cites.
Neural machine translation of rare words with subword units
Rico Sennrich, Barry Haddow, and Alexandra Birch. 2016 · 2016
Earlier work this paper cites.
Model-agnostic meta-learning for fast adaptation of deep networks
Chelsea Finn, Pieter Abbeel, and Sergey Levine. 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.
Structured attention networks
Yoon Kim, Carl Denton, Luong Hoang, and Alexander M. Rush. 2017 · 2017
Earlier work this paper cites.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Earlier work this paper cites.
SQLNet: Generating structured queries from natural language without reinforcement learning
Xiaojun Xu, Chang Liu, and Dawn Song. 2017 · 2017
Earlier work this paper cites.
SQLizer: query synthesis from natural language
Navid Yaghmazadeh, Yuepeng Wang, Isil Dillig, and Thomas Dillig. 2017 · 2017
Earlier work this paper cites.
A syntactic neural model for general-purpose code generation
Pengcheng Yin and Graham Neubig. 2017 · 2017
Earlier work this paper cites.
Seq2SQL: Generating structured queries from natural language using reinforcement learning
Victor Zhong, Caiming Xiong, and Richard Socher. 2017 · 2017
Earlier work this paper cites.
MultiWOZ - a large-scale multi-domain Wizard-of-Oz dataset for task-oriented dialogue modelling
Paweł Budzianowski, Tsung-Hsien Wen, Bo-Hsiang Tseng, Iñigo Casanueva, Stefan Ultes, Osman Ramadan, and Milica Gašić. 2018 · 2018
Earlier work this paper cites.
Coarse-to-fine decoding for neural semantic parsing
Li Dong and Mirella Lapata. 2018 · 2018
Earlier work this paper cites.
Improving text-to-SQL evaluation methodology
Catherine Finegan-Dollak, Jonathan K. Kummerfeld, Li Zhang, Karthik Ramanathan, Sesh Sadasivam, Rui Zhang, and Dragomir Radev. 2018 · 2018
Cited alongside, same era.
Graph theory and its applications
Jonathan L Gross, Jay Yellen, and Mark Anderson. 2018 · 2018
Cited alongside, same era.
Question generation from SQL queries improves neural semantic parsing
Daya Guo, Yibo Sun, Duyu Tang, Nan Duan, Jian Yin, Hong Chi, James Cao, Peng Chen, and Ming Zhou. 2018 · 2018
Cited alongside, same era.
Bidirectional attention for SQL generation
Tong Guo and Huilin Gao. 2018 · 2018
Cited alongside, same era.
Natural language to structured query generation via meta-learning
Po-Sen Huang, Chenglong Wang, Rishabh Singh, Wen-tau Yih, and Xiaodong He. 2018 · 2018
Cited alongside, same era.
Photon: A robust cross-domain text-to-SQL system
Jichuan Zeng, Xi Victoria Lin, Steven C.H. Hoi, Richard Socher, Caiming Xiong, Michael Lyu, and Irwin King. 2020 · 2020
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Semantic evaluation for text-to-SQL with distilled test suites
Ruiqi Zhong, Tao Yu, and Dan Klein. 2020a · 2020
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Grounded adaptation for zero-shot executable semantic parsing
Victor Zhong, Mike Lewis, Sida I. Wang, and Luke Zettlemoyer. 2020b · 2020
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Text2PyCode: Machine translation of natural language intent to python source code
Sridevi Bonthu, S Rama Sree, and MHM Krishna Prasad. 2021 · 2021
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Valuenet: A natural language-to-SQL system that learns from database information
Ursin Brunner and Kurt Stockinger. 2021 · 2021
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SADGA: Structure-aware dual graph aggregation network for text-to-SQL
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Chen Liang, Mohammad Norouzi, Jonathan Berant, Quoc V. Le, and Ni Lao. 2018 · 2018
Cited alongside, same era.
The natural language decathlon: Multitask learning as question answering
Bryan McCann, Nitish Shirish Keskar, Caiming Xiong, and Richard Socher. 2018 · 2018
Cited alongside, same era.
IncSQL: Training incremental text-to-SQL parsers with non-deterministic oracles
Tianze Shi, Kedar Tatwawadi, Kaushik Chakrabarti, Yi Mao, Oleksandr Polozov, and Weizhu Chen. 2018 · 2018
Cited alongside, same era.
Learning to map context-dependent sentences to executable formal queries
Alane Suhr, Srinivasan Iyer, and Yoav Artzi. 2018 · 2018
Cited alongside, same era.
TypeSQL: Knowledge-based type-aware neural text-to-SQL generation
Tao Yu, Zifan Li, Zilin Zhang, Rui Zhang, and Dragomir Radev. 2018a · 2018
Cited alongside, same era.
SyntaxSQLNet: Syntax tree networks for complex and cross-domain text-to-SQL task
Tao Yu, Michihiro Yasunaga, Kai Yang, Rui Zhang, Dongxu Wang, Zifan Li, and Dragomir Radev. 2018b · 2018
Cited alongside, same era.
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. 2018c · 2018
Cited alongside, same era.
Ruichu Cai, Jinjie Yuan, Boyan Xu, and Zhifeng Hao. 2021 · 2021
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LGESQL: Line graph enhanced text-to-SQL model with mixed local and non-local relations
Ruisheng Cao, Lu Chen, Zhi Chen, Yanbin Zhao, Su Zhu, and Kai Yu. 2021 · 2021
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ShadowGNN: Graph projection neural network for text-to-SQL parser
Zhi Chen, Lu Chen, Yanbin Zhao, Ruisheng Cao, Zihan Xu, Su Zhu, and Kai Yu. 2021b · 2021
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RYANSQL: Recursively applying sketch-based slot fillings for complex text-to-SQL in cross-domain databases
DongHyun Choi, Myeong Cheol Shin, EungGyun Kim, and Dong Ryeol Shin. 2021 · 2021
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Prefix-to-SQL: Text-to-SQL generation from incomplete user questions
Naihao Deng, Shuaichen Chang, Peng Shi, Tao Yu, and Rui Zhang. 2021 · 2021
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Exploring underexplored limitations of cross-domain text-to-SQL generalization
Yujian Gan, Xinyun Chen, and Matthew Purver. 2021b · 2021
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Chase: A large-scale and pragmatic Chinese dataset for cross-database context-dependent text-to-SQL
Jiaqi Guo, Ziliang Si, Yu Wang, Qian Liu, Ming Fan, Jian-Guang Lou, Zijiang Yang, and Ting Liu. 2021 · 2021
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Text-to-SQL in the wild: A naturally-occurring dataset based on stack exchange data
Moshe Hazoom, Vibhor Malik, and Ben Bogin. 2021 · 2021
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Unlocking compositional generalization in pre-trained models using intermediate representations
Jonathan Herzig, Peter Shaw, Ming-Wei Chang, Kelvin Guu, Panupong Pasupat, and Yuan Zhang. 2021 · 2021
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mRAT-SQL+ GAP: A Portuguese text-to-SQL transformer
Marcelo Archanjo José and Fabio Gagliardi Cozman. 2021 · 2021
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A deep dive into deep learning approaches for text-to-SQL systems
George Katsogiannis-Meimarakis and Georgia Koutrika. 2021 · 2021
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KaggleDBQA: Realistic evaluation of text-to-SQL parsers
Chia-Hsuan Lee, Oleksandr Polozov, and Matthew Richardson. 2021 · 2021
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Awakening latent grounding from pretrained language models for semantic parsing
Qian Liu, Dejian Yang, Jiahui Zhang, Jiaqi Guo, Bin Zhou, and Jian-Guang Lou. 2021b · 2021
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SmBoP: Semi-autoregressive bottom-up semantic parsing
Ohad Rubin and Jonathan Berant. 2021 · 2021
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SPARQLing database queries from intermediate question decompositions
Irina Saparina and Anton Osokin. 2021 · 2021
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DuoRAT: Towards simpler text-to-SQL models
Torsten Scholak, Raymond Li, Dzmitry Bahdanau, Harm de Vries, and Chris Pal. 2021a · 2021
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PICARD: Parsing incrementally for constrained auto-regressive decoding from language models
Torsten Scholak, Nathan Schucher, and Dzmitry Bahdanau. 2021b · 2021
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Compositional generalization and natural language variation: Can a semantic parsing approach handle both?
Peter Shaw, Ming-Wei Chang, Panupong Pasupat, and Kristina Toutanova. 2021 · 2021
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End-to-end cross-domain text-to-SQL semantic parsing with auxiliary task
Peng Shi, Tao Yu, Patrick Ng, and Zhiguo Wang. 2021 · 2021
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An investigation between schema linking and text-to-SQL performance
Yasufumi Taniguchi, Hiroki Nakayama, Kubo Takahiro, and Jun Suzuki. 2021 · 2021
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Meta-learning for domain generalization in semantic parsing
Bailin Wang, Mirella Lapata, and Ivan Titov. 2021a · 2021
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Learning to synthesize data for semantic parsing
Bailin Wang, Wenpeng Yin, Xi Victoria Lin, and Caiming Xiong. 2021b · 2021
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Data augmentation with hierarchical SQL-to-question generation for cross-domain text-to-SQL parsing
Kun Wu, Lijie Wang, Zhenghua Li, Ao Zhang, Xinyan Xiao, Hua Wu, Min Zhang, and Haifeng Wang. 2021 · 2021
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Sead: End-to-end text-to-SQL generation with schema-aware denoising
Kuan Xuan, Yongbo Wang, Yongliang Wang, Zujie Wen, and Yang Dong. 2021 · 2021
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Grappa: Grammar-augmented pre-training for table semantic parsing
Tao Yu, Chien-Sheng Wu, Xi Victoria Lin, Bailin Wang, Yi Chern Tan, Xinyi Yang, Dragomir R. Radev, Richard Socher, and Caiming Xiong. 2021 · 2021
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TuringAdvice: A generative and dynamic evaluation of language use
Rowan Zellers, Ari Holtzman, Elizabeth Clark, Lianhui Qin, Ali Farhadi, and Yejin Choi. 2021 · 2021
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Efficient constituency tree based encoding for natural language to bash translation
Shikhar Bharadwaj and Shirish Shevade. 2022 · 2022
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UniSAr: A unified structure-aware autoregressive language model for text-to-SQL
Longxu Dou, Yan Gao, Mingyang Pan, Dingzirui Wang, Jian-Guang Lou, Wanxiang Che, and Dechen Zhan. 2022 · 2022
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S 2 SQL: Injecting syntax to question-schema interaction graph encoder for text-to-SQL parsers
Binyuan Hui, Ruiying Geng, Lihan Wang, Bowen Qin, Bowen Li, Jian Sun, and Yongbin Li. 2022 · 2022
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Speech-to-SQL: Towards speech-driven SQL query generation from natural language question
Yuanfeng Song, Raymond Chi-Wing Wong, Xuefang Zhao, and Di Jiang. 2022 · 2022
Closest in time.
PG-GSQL: Pointer-generator network with guide decoding for cross-domain context-dependent text-to-SQL generation
Huajie Wang, Mei Li, and Lei Chen. 2020b · 2022
Closest in time.
Tianbao Xie, Chen Henry Wu, Peng Shi, Ruiqi Zhong, Torsten Scholak, Michihiro Yasunaga, Chien-Sheng Wu, Ming Zhong, Pengcheng Yin, Sida I Wang, et al. 2022 · 2022
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SQL generation via machine reading comprehension
Zeyu Yan, Jianqiang Ma, Yang Zhang, and Jianping Shen. 2020 · 2022
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HIE-SQL: History information enhanced network for context-dependent text-to-SQL semantic parsing
Yanzhao Zheng, Haibin Wang, Baohua Dong, Xingjun Wang, and Changshan Li. 2022 · 2022
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Online semantic parsing for latency reduction in task-oriented dialogue
Jiawei Zhou, Jason Eisner, Michael Newman, Emmanouil Antonios Platanios, and Sam Thomson. 2022 · 2022
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Natural SQL: Making SQL easier to infer from natural language specifications
Yujian Gan, Xinyun Chen, Jinxia Xie, Matthew Purver, John R. Woodward, John Drake, and Qiaofu Zhang. 2021c · 2042
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Speak to your parser: Interactive text-to-SQL with natural language feedback
Ahmed Elgohary, Saghar Hosseini, and Ahmed Hassan Awadallah. 2020 · 2077
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Optimizing deeper transformers on small datasets
Peng Xu, Dhruv Kumar, Wei Yang, Wenjie Zi, Keyi Tang, Chenyang Huang, Jackie Chi Kit Cheung, Simon J.D. Prince, and Yanshuai Cao. 2021 · 2089
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