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Text-to-SQL parsers are crucial in enabling non-experts to effortlessly query relational data.
Rat-sql: Relation-aware schema encoding and linking for text-to-sql parsers
Bailin Wang, Richard Shin, Xiaodong Liu, Oleksandr Polozov, and M. Richardson. 2020 · 1911
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Learning to parse database queries using inductive logic programming
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Learning to map sentences to logical form: Structured classification with probabilistic categorial grammars
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Driving semantic parsing from the world’s response
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Knowledge-based weak supervision for information extraction of overlapping relations
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Learning dependency-based compositional semantics
P. Liang, M. I. Jordan, and D. Klein. 2011 · 2011
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Question answering over knowledge bases by leveraging semantic parsing and neuro-symbolic reasoning
Pavan Kapanipathi, I. Abdelaziz, Srinivas Ravishankar, S. Roukos, Alexander G. Gray, Ramón Fernández Astudillo, Maria Chang, Cristina Cornelio, S. Dana, Achille Fokoue, Dinesh Garg, A. Gliozzo, Sairam Gurajada, Hima Karanam, Naweed Khan, Dinesh Khandelwal, Youngsuk Lee, Yunyao Li, Francois Luus, Ndivhuwo Makondo, Nandana Mihindukulasooriya, Tahira Naseem, Sumit Neelam, L. Popa, Revanth Reddy, R. Riegel, G. Rossiello, Udit Sharma, G P Shrivatsa Bhargav, and M. Yu. 2020 · 2012
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Semantic parsing on Freebase from question-answer pairs
J. Berant, A. Chou, R. Frostig, and P. Liang. 2013 · 2013
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Adam: A method for stochastic optimization
D. Kingma and J. Ba. 2014 · 2014
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Nalir: an interactive natural language interface for querying relational databases
Fei Li and Hosagrahar Visvesvaraya Jagadish. 2014 · 2014
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GloVe: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher Manning. 2014 · 2014
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Compositional semantic parsing on semi-structured tables
P. Pasupat and P. Liang. 2015 · 2015
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Snorkel: Rapid training data creation with weak supervision
A. Ratner, Stephen H. Bach, Henry R. Ehrenberg, Jason Alan Fries, Sen Wu, and C. Ré. 2017 · 2017
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Sqlizer: query synthesis from natural language
Navid Yaghmazadeh, Yuepeng Wang, Isil Dillig, and Thomas Dillig. 2017 · 2017
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Coarse-to-fine decoding for neural semantic parsing
Li Dong and Mirella Lapata. 2018 · 2018
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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
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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 R. Radev. 2018 · 2018
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A comparative survey of recent natural language interfaces for databases
Katrin Affolter, Kurt Stockinger, and A. Bernstein. 2019 · 2019
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Transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Remi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, and Alexander Rush. 2020 · 2020
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Break it down: A question understanding benchmark
Tomer Wolfson, Mor Geva, Ankit Gupta, Matt Gardner, Yoav Goldberg, Daniel Deutch, and Jonathan Berant. 2020 · 2020
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Seq2sql: Generating structured queries from natural language using reinforcement learning
V. Zhong, C. Xiong, and R. Socher. 2017 · 2020
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Structure-grounded pretraining for text-to-sql
Xiang Deng, Ahmed Hassan Awadallah, Christopher Meek, Oleksandr Polozov, Huan Sun, and Matthew Richardson. 2021 · 2021
Closest in time.
Break, perturb, build: Automatic perturbation of reasoning paths through question decomposition
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Jiaqi Guo, Zecheng Zhan, Yan Gao, Yan Xiao, Jian-Guang Lou, Ting Liu, and Dongmei Zhang. 2019 · 2019
Cited alongside, same era.
Learning semantic parsers from denotations with latent structured alignments and abstract programs
Bailin Wang, Ivan Titov, and Mirella Lapata. 2019 · 2019
Cited alongside, same era.
Learning from incomplete and inaccurate supervision
Zhen-Yu Zhang, Peng Zhao, Yuan Jiang, and Zhi-Hua Zhou. 2019 · 2019
Cited alongside, same era.
Natural language to sql: Where are we today?
Hyeonji Kim, Byeong-Hoon So, Wook-Shin Han, and Hongrae Lee. 2020 · 2020
Cited alongside, same era.
Re-examining the role of schema linking in text-to-sql
Wenqiang Lei, Weixin Wang, Zhixin Ma, Tian Gan, Wei Lu, Min-Yen Kan, and Tat-Seng Chua. 2020 · 2020
Cited alongside, same era.
Bridging textual and tabular data for cross-domain text-to-SQL semantic parsing
Xi Victoria Lin, Richard Socher, and Caiming Xiong. 2020 · 2020
Cited alongside, same era.
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. 2020 · 2020
Cited alongside, same era.
Mor Geva, Tomer Wolfson, and Jonathan Berant. 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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KaggleDBQA: Realistic evaluation of text-to-SQL parsers
Chia-Hsuan Lee, Oleksandr Polozov, and Matthew Richardson. 2021 · 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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PICARD: Parsing incrementally for constrained auto-regressive decoding from language models
Torsten Scholak, Nathan Schucher, and Dzmitry Bahdanau. 2021 · 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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From natural language processing to neural databases
James Thorne, Majid Yazdani, Marzieh Saeidi, F. Silvestri, S. Riedel, and A. Halevy. 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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