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We study the task of semantic parse correction with natural language feedback.
Encoding database schemas with relation-aware self-attention for text-to-sql parsers
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Learning to parse database queries using inductive logic programming
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Towards a theory of natural language interfaces to databases
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Learning to map sentences to logical form: Structured classiication with probabilistic categorial grammars
Luke Zettlemoyer and Michael Collins. 2005 · 2005
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Driving semantic parsing from the world’s response
James Clarke, Dan Goldwasser, Ming-Wei Chang, and Dan Roth. 2010 · 2010
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Query reformulation using anchor text
Van Dang and Bruce W Croft. 2010 · 2010
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Learning to win by reading manuals in a monte-carlo framework
SRK Branavan, David Silver, and Regina Barzilay. 2012 · 2012
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Weakly supervised learning of semantic parsers for mapping instructions to actions
Yoav Artzi and Luke Zettlemoyer. 2013 · 2013
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Constructing an interactive natural language interface for relational databases
Fei Li and HV Jagadish. 2014 · 2014
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Towards natural clarification questions in dialogue systems
Svetlana Stoyanchev, Alex Liu, and Julia Hirschberg. 2014 · 2014
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Question-answer driven semantic role labeling: Using natural language to annotate natural language
Luheng He, Mike Lewis, and Luke Zettlemoyer. 2015 · 2015
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Human-in-the-loop parsing
Luheng He, Julian Michael, Mike Lewis, and Luke Zettlemoyer. 2016 · 2016
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
Learning to learn semantic parsers from natural language supervision
Igor Labutov, Bishan Yang, and Tom Mitchell. 2018 · 2018
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Improving a neural semantic parser by counterfactual learning from human bandit feedback
Carolin Lawrence and Stefan Riezler. 2018 · 2018
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Learning to ask good questions: Ranking clarification questions using neural expected value of perfect information
Sudha Rao and Hal Daumé III. 2018 · 2018
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Zero-shot learning of classifiers from natural language quantification
Shashank Srivastava, Igor Labutov, and Tom Mitchell. 2018 · 2018
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Natural language interfaces with fine-grained user interaction: A case study on web apis
Yu Su, Ahmed Hassan Awadallah, Miaosen Wang, and Ryen W. White. 2018 · 2018
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A tale of two DRAGGNs: A hybrid approach for interpreting action-oriented and goal-oriented instructions
Siddharth Karamcheti, Edward Clem Williams, Dilip Arumugam, Mina Rhee, Nakul Gopalan, Lawson L.S. Wong, and Stefanie Tellex. 2017 · 2017
Cited alongside, same era.
Teaching machines to describe images via natural language feedback
Huan Ling and Sanja Fidler. 2017 · 2017
Cited alongside, same era.
Joint concept learning and semantic parsing from natural language explanations
Shashank Srivastava, Igor Labutov, and Tom Mitchell. 2017 · 2017
Cited alongside, same era.
Building natural language interfaces to web apis
Yu Su, Ahmed Hassan Awadallah, Madian Khabsa, Patrick Pantel, and Michael Gamon. 2017 · 2017
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A syntactic neural model for general-purpose code generation
Pengcheng Yin and Graham Neubig. 2017 · 2017
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Seq2SQL: Generating structured queries from natural language using reinforcement learning
Victor Zhong, Caiming Xiong, and Richard Socher. 2017 · 2017
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. 2018 · 2018
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Asking clarifying questions in open-domain information-seeking conversations
Mohammad Aliannejadi, Hamed Zamani, Fabio Crestani, and W. Bruce Croft. 2019 · 2019
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Meta-learning language-guided policy learning
John D Co-Reyes, Abhishek Gupta, Suvansh Sanjeev, Nick Altieri, John DeNero, Pieter Abbeel, and Sergey Levine. 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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Learning from dialogue after deployment: Feed yourself, chatbot!
Braden Hancock, Antoine Bordes, Pierre-Emmanuel Mazare, and Jason Weston. 2019 · 2019
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Reranking for neural semantic parsing
Pengcheng Yin and Graham Neubig. 2019 · 2019
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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 Radev. 2019 · 2019
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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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