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Semantic parsing is the task of obtaining machine-interpretable representations from natural language text.
Probing neural network comprehension of natural language arguments
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Inducing probabilistic ccg grammars from logical form with higher-order unification
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Bootstrapping semantic parsers from conversations
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Discourse representation theory
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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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Abstract meaning representation for sembanking
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Data recombination for neural semantic parsing
Robin Jia and Percy Liang. 2016 · 2016
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Semantic parsing with semi-supervised sequential autoencoders
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Neural paraphrase generation with stacked residual lstm networks
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Sequence-based structured prediction for semantic parsing
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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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Smatch: an evaluation metric for semantic feature structures
Shu Cai and Kevin Knight. 2013 · 2013
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Lambda dependency-based compositional semantics
Percy Liang. 2013 · 2013
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Learning dependency-based compositional semantics
Percy Liang, Michael I Jordan, and Dan Klein. 2013 · 2013
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Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014 · 2014
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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
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Jan Buys and Phil Blunsom. 2017 · 2017
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Learning structured natural language representations for semantic parsing
Jianpeng Cheng, Siva Reddy, Vijay Saraswat, and Mirella Lapata. 2017 · 2017
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Learning a neural semantic parser from user feedback
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Adversarial examples for evaluating reading comprehension systems
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Satwik Kottur, Xiaoyu Wang, and Vítor Carvalho. 2017 · 2017
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Attention is all you need
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Conditional generative adversarial networks for commonsense machine comprehension
Bingning Wang, Kang Liu, and Jun Zhao. 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
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A deep generative framework for paraphrase generation
Ankush Gupta, Arvind Agarwal, Prawaan Singh, and Piyush Rai. 2018 · 2018
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The alexa meaning representation language
Thomas Kollar, Danielle Berry, Lauren Stuart, Karolina Owczarzak, Tagyoung Chung, Lambert Mathias, Michael Kayser, Bradford Snow, and Spyros Matsoukas. 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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Seq2seq dependency parsing
Zuchao Li, Jiaxun Cai, Shexia He, and Hai Zhao. 2018 · 2018
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Discourse representation structure parsing
Jiangming Liu, Shay B Cohen, and Mirella Lapata. 2018 · 2018
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Grounding language acquisition by training semantic parsers using captioned videos
Candace Ross, Andrei Barbu, Yevgeni Berzak, Battushig Myanganbayar, and Boris Katz. 2018 · 2018
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Semantic parsing with syntax- and table-aware SQL generation
Yibo Sun, Duyu Tang, Nan Duan, Jianshu Ji, Guihong Cao, Xiaocheng Feng, Bing Qin, Ting Liu, and Ming Zhou. 2018 · 2018
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Semantic sentence matching with densely-connected recurrent and co-attentive information
Seonhoon Kim, Inho Kang, and Nojun Kwak. 2019 · 2019
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