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Neural models have achieved significant results on the text-to-SQL task, in which most current work assumes all the input questions are legal and generates a SQL query for any input.
A comprehensive exploration on wikisql with table-aware word contextualization
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RoBERTa: A robustly optimized bert pretraining approach
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CoSQL: A conversational text-to-SQL challenge towards cross-domain natural language interfaces to databases
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Towards a theory of natural language interfaces to databases
Ana-Maria Popescu, Oren Etzioni, and Henry Kautz. 2003 · 2003
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Hybridqa: A dataset of multi-hop question answering over tabular and textual data
Wenhu Chen, Hanwen Zha, Zhiyu Chen, Wenhan Xiong, Hong Wang, and William Wang. 2020c · 2004
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Towards ecologically valid research on language user interfaces
Harm de Vries, Dzmitry Bahdanau, and Christopher Manning. 2020 · 2007
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Constructing an interactive natural language interface for relational databases
Fei Li and HV Jagadish. 2014 · 2014
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Compositional semantic parsing on semi-structured tables
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Ms marco: A human generated machine reading comprehension dataset
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Evaluating natural language understanding services for conversational question answering systems
Daniel Braun, Adrian Hernandez Mendez, Florian Matthes, and Manfred Langen. 2017 · 2017
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Learning a neural semantic parser from user feedback
Srinivasan Iyer, Ioannis Konstas, Alvin Cheung, Jayant Krishnamurthy, and Luke Zettlemoyer. 2017 · 2017
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Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Type-and content-driven synthesis of sql queries from natural language
Navid Yaghmazadeh, Yuepeng Wang, Isil Dillig, and Thomas Dillig. 2017 · 2017
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Seq2sql: Generating structured queries from natural language using reinforcement learning
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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Natural questions: a benchmark for question answering research
Tom Kwiatkowski, Jennimaria Palomaki, Olivia Redfield, Michael Collins, Ankur Parikh, Chris Alberti, Danielle Epstein, Illia Polosukhin, Jacob Devlin, Kenton Lee, et al. 2019 · 2019
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An evaluation dataset for intent classification and out-of-scope prediction
Stefan Larson, Anish Mahendran, Joseph J. Peper, Christopher Clarke, Andrew Lee, Parker Hill, Jonathan K. Kummerfeld, Kevin Leach, Michael A. Laurenzano, Lingjia Tang, and Jason Mars. 2019 · 2019
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Coqa: A conversational question answering challenge
Siva Reddy, Danqi Chen, and Christopher D Manning. 2019 · 2019
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Iterative feature mining for constraint-based data collection to increase data diversity and model robustness
Stefan Larson amd Anthony Zheng, Anish Mahendran, Rishi Tekriwal, Adrian Cheung, Eric Guldan, Kevin Leach, and Jonathan K. Kummerfeld. 2020 · 2020
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Victor Zhong, Caiming Xiong, and Richard Socher. 2017 · 2017
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QuAC: Question answering in context
Eunsol Choi, He He, Mohit Iyyer, Mark Yatskar, Wen-tau Yih, Yejin Choi, Percy Liang, and Luke Zettlemoyer. 2018 · 2018
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Alice Coucke, Alaa Saade, Adrien Ball, Théodore Bluche, Alexandre Caulier, David Leroy, Clément Doumouro, Thibault Gisselbrecht, Francesco Caltagirone, Thibaut Lavril, et al. 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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Know what you don’t know: Unanswerable questions for SQuAD
Pranav Rajpurkar, Robin Jia, and Percy Liang. 2018 · 2018
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WikiQA: A challenge dataset for open-domain question answering
Yi Yang, Wen-tau Yih, and Christopher Meek. 2015 · 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 Radev. 2018 · 2018
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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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Efficient intent detection with dual sentence encoders
Iñigo Casanueva, Tadas Temčinas, Daniela Gerz, Matthew Henderson, and Ivan Vulić. 2020 · 2020
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“ None of the Above ”: Measure uncertainty in dialog response retrieval
Yulan Feng, Shikib Mehri, Maxine Eskenazi, and Tiancheng Zhao. 2020 · 2020
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Hybrid ranking network for text-to-sql
Qin Lyu, Kaushik Chakrabarti, Shobhit Hathi, Souvik Kundu, Jianwen Zhang, and Zheng Chen. 2020 · 2020
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Totto: A controlled table-to-text generation dataset
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RAT-SQL: Relation-aware schema encoding and linking for text-to-SQL parsers
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Kloos: Kl divergence-based out-of-scope intent detection in human-to-machine conversations
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Out-of-domain detection for natural language understanding in dialog systems
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