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One daunting problem for semantic parsing is the scarcity of annotation.
Don’t paraphrase, detect! rapid and effective data collection for semantic parsing
Jonathan Herzig and Jonathan Berant. 2019 · 1908
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Ronald J Williams. 1992 · 1992
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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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Long short-term memory
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Policy gradient methods for reinforcement learning with function approximation
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Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
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Learning synchronous grammars for semantic parsing with lambda calculus
Yuk Wah Wong and Raymond Mooney. 2007 · 2007
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Online learning of relaxed ccg grammars for parsing to logical form
Luke Zettlemoyer and Michael Collins. 2007 · 2007
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A generative model for parsing natural language to meaning representations
Wei Lu, Hwee Tou Ng, Wee Sun Lee, and Luke S Zettlemoyer. 2008 · 2008
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Extracting and composing robust features with denoising autoencoders
Pascal Vincent, Hugo Larochelle, Yoshua Bengio, and Pierre-Antoine Manzagol. 2008 · 2008
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Weakly supervised training of semantic parsers
Jayant Krishnamurthy and Tom M Mitchell. 2012 · 2012
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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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Convolutional neural networks for sentence classification
Yoon Kim. 2014 · 2014
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Adam: A method for stochastic optimization
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Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher Manning. 2014 · 2014
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Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V Le. 2014 · 2014
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Semantic parser enhancement for dialogue domain extension with little data
Su Zhu, Lu Chen, Kai Sun, Da Zheng, and Kai Yu. 2014 · 2014
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From word embeddings to document distances
Matt Kusner, Yu Sun, Nicholas Kolkin, and Kilian Weinberger. 2015 · 2015
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Effective approaches to attention-based neural machine translation
Thang Luong, Hieu Pham, and Christopher D. Manning. 2015 · 2015
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Neural machine translation of rare words with subword units
Rico Sennrich, Barry Haddow, and Alexandra Birch. 2015 · 2015
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Building a semantic parser overnight
Yushi Wang, Jonathan Berant, and Percy Liang. 2015 · 2015
Sequence-to-action: End-to-end semantic graph generation for semantic parsing
Bo Chen, Le Sun, and Xianpei Han. 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. 2018 · 2018
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Weakly supervised semantic parsing with abstract examples
Omer Goldman, Veronica Latcinnik, Ehud Nave, Amir Globerson, and Jonathan Berant. 2018 · 2018
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Question generation from sql queries improves neural semantic parsing
Daya Guo, Yibo Sun, Duyu Tang, Nan Duan, Jian Yin, Hong Chi, James Cao, Peng Chen, and Ming Zhou. 2018 · 2018
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Phrase-based & neural unsupervised machine translation
Guillaume Lample, Myle Ott, Alexis Conneau, Ludovic Denoyer, and Marc’Aurelio Ranzato. 2018 · 2018
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Data recombination for neural semantic parsing
Robin Jia and Percy Liang. 2016 · 2016
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Sequence-based structured prediction for semantic parsing
Chunyang Xiao, Marc Dymetman, and Claire Gardent. 2016 · 2016
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Unsupervised neural machine translation
Mikel Artetxe, Gorka Labaka, Eneko Agirre, and Kyunghyun Cho. 2017 · 2017
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Neural semantic parsing over multiple knowledge-bases
Jonathan Herzig and Jonathan Berant. 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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Unsupervised machine translation using monolingual corpora only
Guillaume Lample, Alexis Conneau, Ludovic Denoyer, and Marc’Aurelio Ranzato. 2017 · 2017
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Carolin Lawrence and Stefan Riezler. 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 Zettlemoyer. 2018 · 2018
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StructVAE: Tree-structured latent variable models for semi-supervised semantic parsing
Pengcheng Yin, Chunting Zhou, Junxian He, and Graham Neubig. 2018 · 2018
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Robust spoken language understanding with unsupervised asr-error adaptation
Su Zhu, Ouyu Lan, and Kai Yu. 2018 · 2018
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Learning cross-lingual distributed logical representations for semantic parsing
Yanyan Zou and Wei Lu. 2018 · 2018
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Semantic parsing with dual learning
Ruisheng Cao, Su Zhu, Chen Liu, Jieyu Li, and Kai Yu. 2019 · 2019
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A dual reinforcement learning framework for unsupervised text style transfer
Fuli Luo, Peng Li, Jie Zhou, Pengcheng Yang, Baobao Chang, Xu Sun, and Zhifang Sui. 2019 · 2019
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Data augmentation with atomic templates for spoken language understanding
Zijian Zhao, Su Zhu, and Kai Yu. 2019 · 2019
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Semi-supervised text simplification with back-translation and asymmetric denoising autoencoders
Yanbin Zhao, Lu Chen, Zhi Chen, and Kai Yu. 2020 · 2020
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