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Recent years have witnessed the burgeoning of pretrained language models (LMs) for text-based natural language (NL) understanding tasks.
Assessing bert’s syntactic abilities
Yoav Goldberg. 2019 · 1901
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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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Roberta: A robustly optimized bert pretraining approach
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Global reasoning over database structures for text-to-sql parsing
Ben Bogin, Matt Gardner, and Jonathan Berant. 2019a · 1908
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X-sql: reinforce schema representation with context
Pengcheng He, Yi Mao, Kaushik Chakrabarti, and Weizhu Chen. 2019 · 1908
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TabFact : A large-scale dataset for table-based fact verification
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K-bert: Enabling language representation with knowledge graph
Weijie Liu, Peng Zhou, Zhe Zhao, Zhiruo Wang, Qi Ju, Haotang Deng, and Ping Wang. 2019a · 1909
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Editing-based sql query generation for cross-domain context-dependent questions
Rui Zhang, Tao Yu, He Yang Er, Sungrok Shim, Eric Xue, Xi Victoria Lin, Tianze Shi, Caiming Xiong, Richard Socher, and Dragomir R. Radev. 2019a · 1909
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Semantics-aware bert for language understanding
Zhuosheng Zhang, Yu-Wei Wu, Hai Zhao, Zuchao Li, Shuailiang Zhang, Xi Zhou, and Xiaodong Zhou. 2019c · 1909
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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 Margot Richardson. 2019a · 1911
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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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The Zephyr abstract syntax description language
Daniel C. Wang, Andrew W. Appel, Jeffrey L. Korn, and Christopher S. Serra. 1997 · 1997
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Donghyun Choi, Myeong Cheol Shin, EungGyun Kim, and Dong Ryeol Shin. 2020 · 2004
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Semantic parsing on freebase from question-answer pairs
Jonathan Berant, Andrew Chou, Roy Frostig, and Percy Liang. 2013 · 2013
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Semantic parsing via paraphrasing
Jonathan Berant and Percy Liang. 2014 · 2014
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Compositional semantic parsing on semi-structured tables
Panupong Pasupat and Percy Liang. 2015 · 2015
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Building a semantic parser overnight
Yushi Wang, Jonathan Berant, and Percy Liang. 2015 · 2015
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Semantic parsing via staged query graph generation: Question answering with knowledge base
Wen-tau Yih, Ming-Wei Chang, Xiaodong He, and Jianfeng Gao. 2015 · 2015
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Gaussian error linear units (gelus)
Dan Hendrycks and Kevin Gimpel. 2016 · 2016
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A large public corpus of web tables containing time and context metadata
Oliver Lehmberg, Dominique Ritze, Robert Meusel, and Christian Bizer. 2016 · 2016
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context2vec: Learning generic context embedding with bidirectional LSTM
Seq2SQL: Generating structured queries from natural language using reinforcement learning
Victor Zhong, Caiming Xiong, and Richard Socher. 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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Memory augmented policy optimization for program synthesis and semantic parsing
Chen Liang, Mohammad Norouzi, Jonathan Berant, Quoc V Le, and Ni Lao. 2018 · 2018
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Deep contextualized word representations
Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke S. Zettlemoyer. 2018 · 2018
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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
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Oren Melamud, Jacob Goldberger, and Ido Dagan. 2016 · 2016
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Neural programmer: Inducing latent programs with gradient descent
Arvind Neelakantan, Quoc V. Le, and Ilya Sutskever. 2016 · 2016
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Squad: 100, 000+ questions for machine comprehension of text
Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang. 2016 · 2016
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Table cell search for question answering
Huan Sun, Hao Ma, Xiaodong He, Wen tau Yih, Yu Su, and Xifeng Yan. 2016 · 2016
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Neural semantic parsing with type constraints for semi-structured tables
Jayant Krishnamurthy, Pradeep Dasigi, and Matt Gardner. 2017 · 2017
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Attention strategies for multi-source sequence-to-sequence learning
Jindrich Libovický and Jindrich Helcl. 2017 · 2017
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Learned in translation: Contextualized word vectors
Bryan McCann, James Bradbury, Caiming Xiong, and Richard Socher. 2017 · 2017
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Semantic parsing with syntax- and table-aware SQL generation
Yibo Sun, Duyu Tang, Nan Duan, Jianshu Ji, Guihong Cao, Xiaocheng Feng, Bing Qin, Ting Liu, and Ming Zhou. 2018 · 2018
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Robust text-to-sql generation with execution-guided decoding
Chenglong Wang, Kedar Tatwawadi, Marc Brockschmidt, Po-Sen Huang, Yi Xin Mao, Oleksandr Polozov, and Rishabh Singh. 2018 · 2018
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TRANX: A transition-based neural abstract syntax parser for semantic parsing and code generation
Pengcheng Yin and Graham Neubig. 2018 · 2018
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Learning to generalize from sparse and underspecified rewards
Rishabh Agarwal, Chen Liang, Dale Schuurmans, and Mohammad Norouzi. 2019 · 2019
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Iterative search for weakly supervised semantic parsing
Pradeep Dasigi, Matt Gardner, Shikhar Murty, Luke S. Zettlemoyer, and Eduard H. Hovy. 2019 · 2019
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob 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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Spanbert: Improving pre-training by representing and predicting spans
Mandar Joshi, Danqi Chen, Yinhan Liu, Daniel S. Weld, Luke S. Zettlemoyer, and Omer Levy. 2019 · 2019
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Knowledge enhanced contextual word representations
Matthew E. Peters, Mark Neumann, IV RobertLLogan, Roy Schwartz, Vidur Joshi, Sameer Singh, and Noah A. Smith. 2019 · 2019
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Xlnet: Generalized autoregressive pretraining for language understanding
Zhilin Yang, Zihang Dai, Yiming Yang, Jaime G. Carbonell, Ruslan Salakhutdinov, and Quoc V. Le. 2019 · 2019
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