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Math word problem (MWP) is a challenging and critical task in natural language processing.
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019b · 1907
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Natural Language Input for a Computer Problem Solving System
Daniel G. Bobrow. 1964 · 1964
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Experiments with a deductive question-answering program
James R. Slagle. 1965 · 1965
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Understanding and solving arithmetic word problems: A computer simulation
Charles R. Fletcher. 1985 · 1985
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Robust Understanding of Word Problems with Extraneous Information
Yefim Bakman. 2007 · 2007
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Learning to Solve Arithmetic Word Problems with Verb Categorization
Mohammad Javad Hosseini, Hannaneh Hajishirzi, Oren Etzioni, and Nate Kushman. 2014 · 2014
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Nate Kushman, Yoav Artzi, Luke Zettlemoyer, and Regina Barzilay. 2014 · 2014
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Parsing Algebraic Word Problems into Equations
Rik Koncel-Kedziorski, Hannaneh Hajishirzi, Ashish Sabharwal, Oren Etzioni, and Siena Dumas Ang. 2015 · 2015
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Solving General Arithmetic Word Problems
Subhro Roy and Dan Roth. 2015 · 2015
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Reasoning about Quantities in Natural Language
Subhro Roy, Tim Vieira, and Dan Roth. 2015 · 2015
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Natural Language Processing for Solving Simple Word Problems
Sowmya S Sundaram and Deepak Khemani. 2015 · 2015
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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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A tag-based statistical English math word problem solver with understanding, reasoning and explanation
Chao-Chun Liang, Kuang-Yi Hsu, Chien-Tsung Huang, Chung-Min Li, Shen-Yu Miao, and Keh-Yih Su. 2016 · 2016
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Learning To Use Formulas To Solve Simple Arithmetic Problems
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Unit Dependency Graph and Its Application to Arithmetic Word Problem Solving
Subhro Roy and Dan Roth. 2017 · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, undefinedukasz 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
Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter. 2019 · 2019
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Language models are unsupervised multitask learners
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Superglue: A stickier benchmark for general-purpose language understanding systems
Alex Wang, Yada Pruksachatkun, Nikita Nangia, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, and Samuel R. Bowman. 2019a · 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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Xlnet: Generalized autoregressive pretraining for language understanding
Zhilin Yang, Zihang Dai, Yiming Yang, Jaime Carbonell, Russ R Salakhutdinov, and Quoc V Le. 2019 · 2019
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SpanBERT: Improving Pre-training by Representing and Predicting Spans
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GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Wang, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, and Samuel Bowman. 2018a · 2018
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Translating a Math Word Problem to a Expression Tree
Lei Wang, Yan Wang, Deng Cai, Dongxiang Zhang, and Xiaojiang Liu. 2018b · 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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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 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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Tree-structured Decoding for Solving Math Word Problems
Qianying Liu, Wenyv Guan, Sujian Li, and Daisuke Kawahara. 2019a · 2019
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Mandar Joshi, Danqi Chen, Yinhan Liu, Daniel S. Weld, Luke Zettlemoyer, and Omer Levy. 2020 · 2020
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BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
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Multilingual Denoising Pre-training for Neural Machine Translation
Yinhan Liu, Jiatao Gu, Naman Goyal, Xian Li, Sergey Edunov, Marjan Ghazvininejad, Mike Lewis, and Luke Zettlemoyer. 2020 · 2020
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Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
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Solving Math Word Problems with Multi-Encoders and Multi-Decoders
Yibin Shen and Cheqing Jin. 2020 · 2020
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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 · 2020
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Unified pre-training for program understanding and generation
Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, and Kai-Wei Chang. 2021 · 2021
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