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Developing automatic Math Word Problem (MWP) solvers has been an interest of NLP researchers since the 1960s.
Roberta: A robustly optimized bert pretraining approach
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Natural language input for a computer problem solving system
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Shucheng Li, Lingfei Wu, Shiwei Feng, Fangli Xu, Fengyuan Xu, and Sheng Zhong. 2020 · 2004
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Photon: A robust cross-domain text-to-sql system
Jichuan Zeng, Xi Victoria Lin, Caiming Xiong, Richard Socher, Michael R Lyu, Irwin King, and Steven CH Hoi. 2020 · 2007
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Semantically-aligned universal tree-structured solver for math word problems
Jinghui Qin, Lihui Lin, Xiaodan Liang, Rumin Zhang, and Liang Lin. 2020 · 2010
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Recbole: Towards a unified, comprehensive and efficient framework for recommendation algorithms
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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 to automatically solve algebra word problems
Nate Kushman, Luke Zettlemoyer, Regina Barzilay, and Yoav Artzi. 2014 · 2014
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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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MAWPS: A math word problem repository
Rik Koncel-Kedziorski, Subhro Roy, Aida Amini, Nate Kushman, and Hannaneh Hajishirzi. 2016 · 2016
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Google’s neural machine translation system: Bridging the gap between human and machine translation
Yonghui Wu, Mike Schuster, Zhifeng Chen, Quoc V. Le, Mohammad Norouzi, Wolfgang Macherey, Maxim Krikun, Yuan Cao, Qin Gao, Klaus Macherey, Jeff Klingner, Apurva Shah, Melvin Johnson, Xiaobing Liu, Łukasz Kaiser, Stephan Gouws, Yoshikiyo Kato, Taku Kudo, Hideto Kazawa, Keith Stevens, George Kurian, Nishant Patil, Wei Wang, Cliff Young, Jason Smith, Jason Riesa, Alex Rudnick, Oriol Vinyals, Greg Corrado, Macduff Hughes, and Jeffrey Dean. 2016 · 2016
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Variational neural machine translation
Biao Zhang, Deyi Xiong, Jinsong Su, Hong Duan, and Min Zhang. 2016 · 2016
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Opennmt: Open-source toolkit for neural machine translation
Guillaume Klein, Yoon Kim, Yuntian Deng, Jean Senellart, and Alexander M Rush. 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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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Deep neural solver for math word problems
Yan Wang, Xiaojiang Liu, and Shuming Shi. 2017 · 2017
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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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Semantically-aligned equation generation for solving and reasoning math word problems
Ting-Rui Chiang and Yun-Nung Chen. 2019 · 2019
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Modeling intra-relation in math word problems with different functional multi-head attentions
Jierui Li, Lei Wang, Jipeng Zhang, Yan Wang, Bing Tian Dai, and Dongxiang Zhang. 2019 · 2019
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A knowledge-aware sequence-to-tree network for math word problem solving
Qinzhuo Wu, Qi Zhang, Jinlan Fu, and Xuan-Jing Huang. 2020 · 2020
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A weakly supervised model for solving math word problems
Oishik Chatterjee, Aashish Waikar, Vishwajeet Kumar, Ganesh Ramakrishnan, and Kavi Arya. 2021 · 2021
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Geoqa: A geometric question answering benchmark towards multimodal numerical reasoning
Jiaqi Chen, Jianheng Tang, Jinghui Qin, Xiaodan Liang, Lingbo Liu, Eric P Xing, and Liang Lin. 2021 · 2021
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Learning by fixing: Solving math word problems with weak supervision
Yining Hong, Qing Li, Daniel Ciao, Siyuan Huang, and Song-Chun Zhu. 2021 · 2021
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Tm-generation model: a template-based method for automatically solving mathematical word problems
Donggeon Lee, Kyung Seo Ki, Bugeun Kim, and Gahgene Gweon. 2021 · 2021
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Tree-structured decoding for solving math word problems
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Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever, et al. 2019 · 2019
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Template-based math word problem solvers with recursive neural networks
Lei Wang, Dongxiang Zhang, Jipeng Zhang, Xing Xu, Lianli Gao, Bing Tian Dai, and Heng Tao Shen. 2019 · 2019
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A goal-driven tree-structured neural model for math word problems
Zhipeng Xie and Shichao Sun. 2019 · 2019
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The gap of semantic parsing: A survey on automatic math word problem solvers
Dongxiang Zhang, Lei Wang, Luming Zhang, Bing Tian Dai, and Heng Tao Shen. 2019 · 2019
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Point to the expression: Solving algebraic word problems using the expression-pointer transformer model
Bugeun Kim, Kyung Seo Ki, Donggeon Lee, and Gahgene Gweon. 2020 · 2020
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A diverse corpus for evaluating and developing english math word problem solvers
Shen-Yun Miao, Chao-Chun Liang, and Keh-Yih Su. 2020 · 2020
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TextBox: A unified, modularized, and extensible framework for text generation
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Mwp-bert: A strong baseline for math word problems
Zhenwen Liang, Jipeng Zhang, Jie Shao, and Xiangliang Zhang. 2021 · 2021
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Investigating math word problems using pretrained multilingual language models
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Math word problem solving with explicit numerical values
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