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The task of semantic parsing is highly useful for dialogue and question answering systems.
Improving semantic parsing for task oriented dialog
Arash Einolghozati, Panupong Pasupat, Sonal Gupta, Rushin Shah, Mrinal Mohit, Mike Lewis, and Luke Zettlemoyer. 2019 · 1902
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Grammar-based neural text-to-sql generation
Kevin Lin, Ben Bogin, Mark Neumann, Jonathan Berant, and Matt Gardner. 2019 · 1905
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Evaluation of spoken language systems: The atis domain
Patti J Price. 1990 · 1990
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Expanding the scope of the atis task: The atis-3 corpus
Deborah A Dahl, Madeleine Bates, Michael Brown, William Fisher, Kate Hunicke-Smith, David Pallett, Christine Pao, Alexander Rudnicky, and Elizabeth Shriberg. 1994 · 1994
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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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Using multiple clause constructors in inductive logic programming for semantic parsing
Lappoon R Tang and Raymond J Mooney. 2001 · 2001
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Automatic labeling of semantic roles
Daniel Gildea and Daniel Jurafsky. 2002 · 2002
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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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Shallow semantc parsing of chinese
Honglin Sun and Daniel Jurafsky. 2004 · 2004
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Rules for mapping sql relational databases to owl ontologies
Irina Astrova. 2009 · 2009
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Ysmart: Yet another sql-to-mapreduce translator
Rubao Lee, Tian Luo, Yin Huai, Fusheng Wang, Yongqiang He, and Xiaodong Zhang. 2011 · 2011
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Semeval-2012 task 5: Chinese semantic dependency parsing
Wanxiang Che, Meishan Zhang, Yanqiu Shao, and Ting Liu. 2012 · 2012
Cited alongside, same era.
Unsupervised induction and filling of semantic slots for spoken dialogue systems using frame-semantic parsing
Yun-Nung Chen, William Yang Wang, and Alexander I Rudnicky. 2013 · 2013
Cited alongside, same era.
Adam: A method for stochastic optimization
Diederik Kingma and Jimmy Ba. 2014 · 2014
Cited alongside, same era.
Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher Manning. 2014 · 2014
Cited alongside, same era.
Semantic parsing via staged query graph generation: Question answering with knowledge base
Wen-tau Yih, Ming-Wei Chang, Xiaodong He, and Jianfeng Gao. 2015 · 2015
Cited alongside, same era.
Chinese zero pronoun resolution with deep neural networks
Chen Chen and Vincent Ng. 2016 · 2016
Seq2sql: Generating structured queries from natural language using reinforcement learning
Victor Zhong, Caiming Xiong, and Richard Socher. 2017 · 2017
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Coarse-to-fine decoding for neural semantic parsing
Li Dong and Mirella Lapata. 2018 · 2018
Later among the works it cites.
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
Later among the works it cites.
Semantic parsing for task oriented dialog using hierarchical representations
Sonal Gupta, Rushin Shah, Mrinal Mohit, Anuj Kumar, and Mike Lewis. 2018 · 2018
Later among the works it cites.
Directional skip-gram: Explicitly distinguishing left and right context for word embeddings
Yan Song, Shuming Shi, Jing Li, and Haisong Zhang. 2018 · 2018
Later among the works it cites.
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Cited alongside, same era.
Transforming dependency structures to logical forms for semantic parsing
Siva Reddy, Oscar Täckström, Michael Collins, Tom Kwiatkowski, Dipanjan Das, Mark Steedman, and Mirella Lapata. 2016 · 2016
Cited alongside, same era.
Learning a neural semantic parser from user feedback
Srinivasan Iyer, Ioannis Konstas, Alvin Cheung, Jayant Krishnamurthy, and Luke Zettlemoyer. 2017 · 2017
Cited alongside, same era.
Sqlnet: Generating structured queries from natural language without reinforcement learning
Xiaojun Xu, Chang Liu, and Dawn Song. 2017 · 2017
Cited alongside, same era.
Sqlizer: query synthesis from natural language
Navid Yaghmazadeh, Yuepeng Wang, Isil Dillig, and Thomas Dillig. 2017 · 2017
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Neural word segmentation with rich pretraining
Jie Yang, Yue Zhang, and Fei Dong. 2017 · 2017
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Syntaxsqlnet: Syntax tree networks for complex and cross-domain text-to-sql task
Tao Yu, Michihiro Yasunaga, Kai Yang, Rui Zhang, Dongxu Wang, Zifan Li, and Dragomir Radev. 2018a · 2018
Later among the works it cites.
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, et al. 2018b · 2018
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Chinese ner using lattice lstm
Yue Zhang and Jie Yang. 2018 · 2018
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Representing schema structure with graph neural networks for text-to-SQL parsing
Ben Bogin, Jonathan Berant, and Matt Gardner. 2019 · 2019
Closest in time.
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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Is word segmentation necessary for deep learning of chinese representations?
Xiaoya Li, Yuxian Meng, Xiaofei Sun, Qinghong Han, Arianna Yuan, and Jiwei Li. 2019 · 2019
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