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Math word problems (MWPs) is a task that automatically derives solution expression from a giving math problems in text.
“Natural language input for a computer problem solving system,”
Daniel G Bobrow, · 1964
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“Deep neural solver for math word problems,”
Yan Wang, Xiaojiang Liu, and Shuming Shi, · 2017
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“Translating a math word problem to an expression tree,”
Lei Wang, Yan Wang, Deng Cai, Dongxiang Zhang, and Xiaojiang Liu, · 2018
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“Deep mutual learning,”
Ying Zhang, Tao Xiang, Timothy M Hospedales, and Huchuan Lu, · 2018
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Sara Hooker, Aaron Courville, Gregory Clark, Yann Dauphin, and Andrea Frome, · 2019
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“A goal-driven tree-structured neural model for math word problems,”
Zhipeng Xie and Shichao Sun, · 2019
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“Tree-structured decoding for solving math word problems,”
Qianying Liu, Wenyv Guan, Sujian Li, and Daisuke Kawahara, · 2019
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“Graph-to-tree learning for solving math word problems,”
Jipeng Zhang, Lei Wang, Roy Ka-Wei Lee, Yi Bin, Yan Wang, Jie Shao, and Ee-Peng Lim, · 2020
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“Many-objective estimation of distribution optimization algorithm based on wgan-gp,”
Zhenyu Liang, Yunfan Li, and Zhongwei Wan, · 2020
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“Large scale many-objective optimization driven by distributional adversarial networks,”
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“Ape210k: A large-scale and template-rich dataset of math word problems,”
Wei Zhao, Mingyue Shang, Yang Liu, Liang Wang, and Jingming Liu, · 2020
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“Solving math word problems with multi-encoders and multi-decoders,”
Yibin Shen and Cheqing Jin, · 2020
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“Generate & rank: A multi-task framework for math word problems,”
Jianhao Shen, Yichun Yin, Lin Li, Lifeng Shang, Xin Jiang, Ming Zhang, and Qun Liu, · 2021
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“Expression syntax information bottleneck for math word problems,”
Jing Xiong, Chengming Li, Min Yang, Xiping Hu, and Bin Hu, · 2022
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“Learning to reason deductively: Math word problem solving as complex relation extraction,”
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