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Code generation aims to automatically generate a piece of code given an input natural language utterance.
Online Distilling from Checkpoints for Neural Machine Translation
Wei, H.-R.; Huang, S.; Wang, R.; Dai, X.-y.; and Chen, J. 2019b · 1941
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Online Learning of Relaxed CCG Grammars for Parsing to Logical Form
Zettlemoyer, L. S.; and Collins, M. 2007 · 2007
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Learning to map sentences to logical form. Ph.D. thesis., Massachusetts Institute of Technology, Cambridge, MA, USA
Zettlemoyer, L. S. 2009 · 2009
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Learning Dependency-Based Compositional Semantics
Liang, P.; Jordan, M. I.; and Klein, D. 2011 · 2011
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Language to Code: Learning Semantic Parsers for If-This-Then-That Recipes
Quirk, C.; Mooney, R. J.; and Galley, M. 2015 · 2015
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FitNets: Hints for Thin Deep Nets
Romero, A.; Ballas, N.; Kahou, S. E.; Chassang, A.; Gatta, C.; and Bengio, Y. 2015 · 2015
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Improved Semantic Parsers For If-Then Statements
Beltagy, I.; and Quirk, C. 2016 · 2016
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Language to Logical Form with Neural Attention
Dong, L.; and Lapata, M. 2016 · 2016
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Latent Predictor Networks for Code Generation
Ling, W.; Blunsom, P.; Grefenstette, E.; Hermann, K. M.; Kociský, T.; Wang, F.; and Senior, A. W. 2016 · 2016
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Tree-structured decoding with doubly-recurrent neural networks
Alvarez-Melis, D.; and Jaakkola, T. S. 2017 · 2017
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Abstract Syntax Networks for Code Generation and Semantic Parsing
Rabinovich, M.; Stern, M.; and Klein, D. 2017 · 2017
Cited alongside, same era.
The University of Edinburgh’s Neural MT Systems for WMT17
Sennrich, R.; Birch, A.; Currey, A.; Germann, U.; Haddow, B.; Heafield, K.; Barone, A. V. M.; and Williams, P. 2017 · 2017
Cited alongside, same era.
A Syntactic Neural Model for General-Purpose Code Generation
Yin, P.; and Neubig, G. 2017 · 2017
Cited alongside, same era.
Coarse-to-Fine Decoding for Neural Semantic Parsing
Dong, L.; and Lapata, M. 2018 · 2018
Cited alongside, same era.
Born-Again Neural Networks
Furlanello, T.; Lipton, Z. C.; Tschannen, M.; Itti, L.; and Anandkumar, A. 2018 · 2018
Cited alongside, same era.
Knowledge Distillation by On-the-Fly Native Ensemble
Lan, X.; Zhu, X.; and Gong, S. 2018 · 2018
Cited alongside, same era.
Exploiting reverse target-side contexts for neural machine translation via asynchronous bidirectional decoding
Su, J.; Zhang, X.; Lin, Q.; Qin, Y.; Yao, J.; and Liu, Y. 2019 · 2019
Later among the works it cites.
A Grammar-Based Structural CNN Decoder for Code Generation
Sun, Z.; Zhu, Q.; Mou, L.; Xiong, Y.; Li, G.; and Zhang, L. 2019 · 2019
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Code Generation as a Dual Task of Code Summarization
Wei, B.; Li, G.; Xia, X.; Fu, Z.; and Jin, Z. 2019a · 2019
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Reranking for Neural Semantic Parsing
Yin, P.; and Neubig, G. 2019 · 2019
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Iterative Dual Domain Adaptation for Neural Machine Translation
Zeng, J.; Liu, Y.; Su, J.; Ge, Y.; Lu, Y.; Yin, Y.; and Luo, J. 2019 · 2019
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An Iterative Multi-Source Mutual Knowledge Transfer Framework for Machine Reading Comprehension
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TRANX: A Transition-based Neural Abstract Syntax Parser for Semantic Parsing and Code Generation
Yin, P.; and Neubig, G. 2018 · 2018
Cited alongside, same era.
Deep Mutual Learning
Zhang, Y.; Xiang, T.; Hospedales, T. M.; and Lu, H. 2018b · 2018
Cited alongside, same era.
BAM! Born-Again Multi-Task Networks for Natural Language Understanding
Clark, K.; Luong, M.; Khandelwal, U.; Manning, C. D.; and Le, Q. V. 2019 · 2019
Cited alongside, same era.
Program Synthesis and Semantic Parsing with Learned Code Idioms
Shin, E. C. R.; Allamanis, M.; Brockschmidt, M.; and Polozov, A. 2019 · 2019
Cited alongside, same era.
Asynchronous Bidirectional Decoding for Neural Machine Translation
Zhang, X.; Su, J.; Qin, Y.; Liu, Y.; Ji, R.; and Wang, H. 2018a
Cited in the paper.
Liu, X.; Liu, K.; Li, X.; Su, J.; Ge, Y.; Wang, B.; and Luo, J. 2020 · 2020
Later among the works it cites.
TreeGen: A Tree-Based Transformer Architecture for Code Generation
Sun, Z.; Zhu, Q.; Xiong, Y.; Sun, Y.; Mou, L.; and Zhang, L. 2020 · 2020
Later among the works it cites.
Incorporating External Knowledge through Pre-training for Natural Language to Code Generation
Xu, F. F.; Jiang, Z.; Yin, P.; Vasilescu, B.; and Neubig, G. 2020 · 2020
Later among the works it cites.
Improving Domain-Adapted Sentiment Classification by Deep Adversarial Mutual Learning
Xue, Q.; Zhang, W.; and Zha, H. 2020 · 2020
Later among the works it cites.