Fetching the paper…
Reading the bibliography…
Open-domain code generation aims to generate code in a general-purpose programming language (such as Python) from natural language (NL) intents.
CoSQL: A conversational text-to-SQL challenge towards cross-domain natural language interfaces to databases
Tao Yu, Rui Zhang, Heyang Er, Suyi Li, Eric Xue, Bo Pang, Xi Victoria Lin, Yi Chern Tan, Tianze Shi, Zihan Li, Youxuan Jiang, Michihiro Yasunaga, Sungrok Shim, Tao Chen, Alexander Fabbri, Zifan Li, Luyao Chen, Yuwen Zhang, Shreya Dixit, Vincent Zhang, Caiming Xiong, Richard Socher, Walter Lasecki, and Dragomir Radev. 2019a · 1979
Earlier work this paper cites.
Expanding the scope of the ATIS task: The ATIS-3 corpus
Michael Brown William Fisher Kate Hunicke-Smith David Pallett Christine Pao Alexander Rudnicky Deborah A. Dahl, Madeleine Bates and Elizabeth Shriber. 1994 · 1994
Earlier work this paper cites.
Learning to parse database queries using inductive logic programming
John M Zelle and Raymond J Mooney. 1996 · 1996
Earlier work this paper cites.
A probabilistic model of information retrieval: development and comparative experiments: Part 1
K. Sparck Jones, S. Walker, and S.E. Robertson. 2000 · 2000
Earlier work this paper cites.
Two studies of opportunistic programming: interleaving web foraging, learning, and writing code
Joel Brandt, Philip J Guo, Joel Lewenstein, Mira Dontcheva, and Scott R Klemmer. 2009 · 2009
Earlier work this paper cites.
Example-centric programming: integrating web search into the development environment
Joel Brandt, Mira Dontcheva, Marcos Weskamp, and Scott R Klemmer. 2010 · 2010
Earlier work this paper cites.
Semantic parsing on Freebase from question-answer pairs
Jonathan Berant, Andrew Chou, Roy Frostig, and Percy Liang. 2013 · 2013
Earlier work this paper cites.
Learning phrase representations using RNN encoder–decoder for statistical machine translation
Kyunghyun Cho, Bart van Merriënboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014 · 2014
Earlier work this paper cites.
Language to code: Learning semantic parsers for if-this-then-that recipes
Chris Quirk, Raymond Mooney, and Michel Galley. 2015 · 2015
Earlier work this paper cites.
Language to logical form with neural attention
Li Dong and Mirella Lapata. 2016 · 2016
Earlier work this paper cites.
Deep API learning
Xiaodong Gu, Hongyu Zhang, Dongmei Zhang, and Sunghun Kim. 2016 · 2016
Cited alongside, same era.
Latent predictor networks for code generation
Wang Ling, Phil Blunsom, Edward Grefenstette, Karl Moritz Hermann, Tomáš Kočiský, Fumin Wang, and Andrew Senior. 2016 · 2016
Cited alongside, same era.
Sequence-based structured prediction for semantic parsing
Chunyang Xiao, Marc Dymetman, and Claire Gardent. 2016 · 2016
Cited alongside, same era.
Neural semantic parsing with type constraints for semi-structured tables
Jayant Krishnamurthy, Pradeep Dasigi, and Matt Gardner. 2017 · 2017
Cited alongside, same era.
Neural symbolic machines: Learning semantic parsers on Freebase with weak supervision
Chen Liang, Jonathan Berant, Quoc Le, Kenneth D. Forbus, and Ni Lao. 2017 · 2017
Cited alongside, same era.
Abstract syntax networks for code generation and semantic parsing
Maxim Rabinovich, Mitchell Stern, and Dan Klein. 2017 · 2017
NL2Bash: A corpus and semantic parser for natural language interface to the linux operating system
Xi Victoria Lin, Chenglong Wang, Luke Zettlemoyer, and Michael D. Ernst. 2018 · 2018
Later among the works it cites.
Learning to map context-dependent sentences to executable formal queries
Alane Suhr, Srinivasan Iyer, and Yoav Artzi. 2018 · 2018
Later among the works it cites.
Staqc: A systematically mined question-code dataset from stack overflow
Ziyu Yao, Daniel S Weld, Wei-Peng Chen, and Huan Sun. 2018 · 2018
Later among the works it cites.
Learning to mine aligned code and natural language pairs from stack overflow
Pengcheng Yin, Bowen Deng, Edgar Chen, Bogdan Vasilescu, and Graham Neubig. 2018 · 2018
Later among the works it cites.
TRANX: A transition-based neural abstract syntax parser for semantic parsing and code generation
Pengcheng Yin and Graham Neubig. 2018 · 2018
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
A syntactic neural model for general-purpose code generation
Pengcheng Yin and Graham Neubig. 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.
Coarse-to-fine decoding for neural semantic parsing
Li Dong and Mirella Lapata. 2018 · 2018
Cited alongside, same era.
Mapping language to code in programmatic context
Srinivasan Iyer, Ioannis Konstas, Alvin Cheung, and Luke Zettlemoyer. 2018 · 2018
Cited alongside, same era.
SParC: Cross-domain semantic parsing in context
Tao Yu, Rui Zhang, Michihiro Yasunaga, Yi Chern Tan, Xi Victoria Lin, Suyi Li, Heyang Er, Irene Li, Bo Pang, Tao Chen, Emily Ji, Shreya Dixit, David Proctor, Sungrok Shim, Jonathan Kraft, Vincent Zhang, Caiming Xiong, Richard Socher, and Dragomir Radev. 2019b
Cited in the paper.
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
Later among the works it cites.
JuICe: A large scale distantly supervised dataset for open domain context-based code generation
Rajas Agashe, Srinivasan Iyer, and Luke Zettlemoyer. 2019 · 2019
Later among the works it cites.
Coacor: Code annotation for code retrieval with reinforcement learning
Ziyu Yao, Jayavardhan Reddy Peddamail, and Huan Sun. 2019 · 2019
Later among the works it cites.
Reranking for neural semantic parsing
Pengcheng Yin and Graham Neubig. 2019 · 2019
Later among the works it cites.