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We introduce a large-scale dataset of math word problems and an interpretable neural math problem solver that learns to map problems to operation programs.
Natural language input for a computer problem solving system
Daniel G Bobrow. 1964 · 1964
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Calculus word problems
Eugene Charniak. 1968 · 1968
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Computer solution of calculus word problems
Eugene Charniak. 1969 · 1969
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An integrated model of skill in solving elementary word problems
Diane J Briars and Jill H Larkin. 1984 · 1984
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A computer simulation of childrens arithmetic word-problem solving
Denise Dellarosa. 1986 · 1986
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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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Learning to map sentences to logical form: Structured classification with probabilistic categorial grammars
Luke Zettlemoyer and Michael Collins. 2005 · 2005
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Robust understanding of word problems with extraneous information
Yefim Bakman. 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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Modeling math word problems with augmented semantic networks
Christian Liguda and Thies Pfeiffer. 2012 · 2012
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On the properties of neural machine translation: Encoder–decoder approaches
Kyunghyun Cho, Bart van Merri e ¨ \ddot{\text{e}} nboer, Dzmitry Bahdanau, and Yoshua Bengio. 2014 · 2014
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Learning to solve arithmetic word problems with verb categorization
Mohammad Javad Hosseini, Hannaneh Hajishirzi, Oren Etzioni, and Nate Kushman. 2017 · 2014
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Learning to automatically solve algebra word problems
Nate Kushman, Yoav Artzi, Luke Zettlemoyer, and Regina Barzilay. 2014 · 2014
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Machine translation by jointly learning to align and translate
Mawps: A math word problem repository
Rik Koncel-Kedziorski, Subhro Roy, Aida Amini, Nate Kushman, and Hannaneh Hajishirzi. 2016 · 2016
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Neural generation of regular expressions from natural language with minimal domain knowledge
Nicholas Locascio, Karthik Narasimhan, Eduardo DeLeon, Nate Kushman, and Regina Barzilay. 2016 · 2016
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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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Program induction by rationale generation: Learning to solve and explain algebraic word problems
Wang Ling, Dani Yogatama, Chris Dyer, and Phil Blunsom. 2017 · 2017
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Annotating derivations: A new evaluation strategy and dataset for algebra word problems
Shyam Upadhyay and Ming-Wei Chang. 2017 · 2017
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D. Bahdanau, K. Cho, and Y. Bengio. 2015 · 2015
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba. 2015 · 2015
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How well do computers solve math word problems? large-scale dataset construction and evaluation
Danqing Huang, Shuming Shi, Chin-Yew Lin, Jian Yin, and Wei-Ying Ma. 2016 · 2016
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Neural math word problem solver with reinforcement learning
Danqing Huang, Jing Liu, Chin-Yew Lin, and Jian Yin. 2018a
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Using intermediate representations to solve math word problems
Danqing Huang, Jin-Ge Yao, Chin-Yew Lin, Qingyu Zhou, and Jian Yin. 2018b
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Opennmt: Open-source toolkit for neural machine translation
G. Klein, Y. Kim, Y. Deng, J. Senellart, and A. M. Rush
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Yan Wang, Xiaojiang Liu, and Shuming Shi. 2017 · 2017
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A meaning-based statistical english math word problem solver
Chao-Chun Liang, Yu-Shiang Wong, Yi-Chung Lin, and Keh-Yih Su. 2018 · 2018
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Mapping to declarative knowledge for word problem solving
Subhro Roy and Dan Roth. 2018 · 2018
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