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Text-to-SQL is a task to generate SQL queries from human utterances.
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 · 1905
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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. 2019 · 1911
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Metamorphic testing: a new approach for generating next test cases
Tsong Y Chen, Shing C Cheung, and Shiu Ming Yiu. 1998 · 1998
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DongHyun Choi, Myeong Cheol Shin, EungGyun Kim, and Dong Ryeol Shin. 2020 · 2004
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Photon: A robust cross-domain text-to-sql system
Jichuan Zeng, Xi Victoria Lin, Caiming Xiong, Richard Socher, Michael R Lyu, Irwin King, and Steven CH Hoi. 2020 · 2007
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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 Radev, Richard Socher, and Caiming Xiong. 2020 · 2009
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Astraea: Grammar-based fairness testing
Ezekiel Soremekun, Sakshi Udeshi, and Sudipta Chattopadhyay. 2020 · 2010
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Semantic evaluation for text-to-sql with distilled test suites
Ruiqi Zhong, Tao Yu, and Dan Klein. 2020 · 2010
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” what do you mean by that?” a parser-independent interactive approach for enhancing text-to-sql
Yuntao Li, Bei Chen, Qian Liu, Yan Gao, Jian-Guang Lou, Yan Zhang, and Dongmei Zhang. 2020 · 2011
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GloVe: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher D Manning. 2014 · 2014
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A survey on metamorphic testing
Sergio Segura, Gordon Fraser, Ana B Sanchez, and Antonio Ruiz-Cortés. 2016 · 2016
Cited alongside, same era.
Cosette: An automated prover for sql
Shumo Chu, Chenglong Wang, Konstantin Weitz, and Alvin Cheung. 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.
Seq2sql: Generating structured queries from natural language using reinforcement learning
Victor Zhong, Caiming Xiong, and Richard Socher. 2017 · 2017
Cited alongside, same era.
Fluency boost learning and inference for neural grammatical error correction
Tao Ge, Furu Wei, and Ming Zhou. 2018 · 2018
Cited alongside, same era.
Task-oriented dialogue as dataflow synthesis
Jacob Andreas, John Bufe, David Burkett, Charles Chen, Josh Clausman, Jean Crawford, Kate Crim, Jordan DeLoach, Leah Dorner, Jason Eisner, et al. 2020 · 2020
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A tale of two linkings: Dynamically gating between schema linking and structural linking for text-to-sql parsing
Sanxing Chen, Aidan San, Xiaodong Liu, and Yangfeng Ji. 2020 · 2020
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Structure-invariant testing for machine translation
Pinjia He, Clara Meister, and Zhendong Su. 2020 · 2020
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Natural language to sql: Where are we today?
Hyeonji Kim, Byeong-Hoon So, Wook-Shin Han, and Hongrae Lee. 2020 · 2020
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Metamorphic testing and certified mitigation of fairness violations in nlp models
Pingchuan Ma, Shuai Wang, and Jin Liu. 2020 · 2020
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Beyond accuracy: Behavioral testing of NLP models with CheckList
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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.
Global reasoning over database structures for text-to-sql parsing
Ben Bogin, Matt Gardner, and Jonathan Berant. 2019b · 2019
Cited alongside, same era.
BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Cited alongside, same era.
Representing schema structure with graph neural networks for text-to-SQL parsing
Ben Bogin, Jonathan Berant, and Matt Gardner. 2019a
Cited in the paper.
Typesql: Knowledge-based type-aware neural text-to-sql generation
Tao Yu, Zifan Li, Zilin Zhang, Rui Zhang, and Dragomir Radev. 2018a
Cited in the paper.
Marco Tulio Ribeiro, Tongshuang Wu, Carlos Guestrin, and Sameer Singh. 2020 · 2020
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Exploring unexplored generalization challenges for cross-database semantic parsing
Alane Suhr, Ming-Wei Chang, Peter Shaw, and Kenton Lee. 2020 · 2020
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Dbpal: A fully pluggable nl2sql training pipeline
Nathaniel Weir, Prasetya Utama, Alex Galakatos, Andrew Crotty, Amir Ilkhechi, Shekar Ramaswamy, Rohin Bhushan, Nadja Geisler, Benjamin Hättasch, Steffen Eger, et al. 2020 · 2020
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Adversarial attacks on deep-learning models in natural language processing: A survey
Wei Emma Zhang, Quan Z Sheng, Ahoud Alhazmi, and Chenliang Li. 2020 · 2020
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