Fetching the paper…
Reading the bibliography…
From the latter half of the last decade, there has been a growing interest in developing algorithms for automatically solving mathematical word problems (MWP).
A question-answering system for high school algebra word problems
Bobrow, D. G. (1964) · 1964
Earlier work this paper cites.
Understanding and solving arithmetic word problems: A computer simulation
Fletcher, C. R. (1985) · 1985
Earlier work this paper cites.
A computer simulation of children’s arithmetic word-problem solving
Dellarosa, D. (1986) · 1986
Earlier work this paper cites.
Schemas in Problem Solving
Marshall, S. P. (1996) · 1996
Earlier work this paper cites.
Long short-term memory
Hochreiter, S. and Schmidhuber, J. (1997) · 1997
Earlier work this paper cites.
A review of methods for automatic understanding of natural language mathematical problems
Mukherjee, A. and Garain, U. (2008) · 2008
Earlier work this paper cites.
Distributed representations of words and phrases and their compositionality
Mikolov, T., Sutskever, I., Chen, K., Corrado, G. S., and Dean, J. (2013) · 2013
Earlier work this paper cites.
Learning phrase representations using RNN encoder–decoder for statistical machine translation
Cho, K., van Merriënboer, B., Gulcehre, C., Bahdanau, D., Bougares, F., Schwenk, H., and Bengio, Y. (2014) · 2014
Earlier work this paper cites.
Learning to solve arithmetic word problems with verb categorization
Hosseini, M. J., Hajishirzi, H., Etzioni, O., and Kushman, N. (2014) · 2014
Earlier work this paper cites.
Learning to automatically solve algebra word problems
Kushman, N., Artzi, Y., Zettlemoyer, L., and Barzilay, R. (2014) · 2014
Earlier work this paper cites.
Distributed representations of sentences and documents
Le, Q. and Mikolov, T. (2014) · 2014
Earlier work this paper cites.
Glove: Global vectors for word representation
Pennington, J., Socher, R., and Manning, C. (2014) · 2014
Earlier work this paper cites.
Sequence to sequence learning with neural networks
Sutskever, I., Vinyals, O., and Le, Q. V. (2014) · 2014
Earlier work this paper cites.
Siamese neural networks for one-shot image recognition
Koch, G., Zemel, R., and Salakhutdinov, R. (2015) · 2015
Earlier work this paper cites.
Parsing algebraic word problems into equations
Koncel-Kedziorski, R., Hajishirzi, H., Sabharwal, A., Etzioni, O., and Ang, S. D. (2015) · 2015
Earlier work this paper cites.
Solving general arithmetic word problems
Roy, S. and Roth, D. (2015) · 2015
Earlier work this paper cites.
Reasoning about quantities in natural language
Roy, S., Vieira, T., and Roth, D. (2015) · 2015
Earlier work this paper cites.
Solving geometry problems: Combining text and diagram interpretation
Seo, M., Hajishirzi, H., Farhadi, A., Etzioni, O., and Malcolm, C. (2015) · 2015
Earlier work this paper cites.
Automatically solving number word problems by semantic parsing and reasoning
Shi, S., Wang, Y., Lin, C., Liu, X., and Rui, Y. (2015) · 2015
Earlier work this paper cites.
Wolfram|alpha
Wolfram, S. (2015) · 2015
Earlier work this paper cites.
Learn to solve algebra word problems using quadratic programming
Zhou, L., Dai, S., and Chen, L. (2015) · 2015
Earlier work this paper cites.
How well do computers solve math word problems? large-scale dataset construction and evaluation
Huang, D., Shi, S., Lin, C.-Y., Yin, J., and Ma, W.-Y. (2016) · 2016
Earlier work this paper cites.
Mawps: A math word problem repository
Koncel-Kedziorski, R., Roy, S., Amini, A., Kushman, N., and Hajishirzi, H. (2016) · 2016
Earlier work this paper cites.
Learning to use formulas to solve simple arithmetic problems
Mitra, A. and Baral, C. (2016) · 2016
Earlier work this paper cites.
Solving probability problems in natural language
Dries, A., Kimmig, A., Davis, J., Belle, V., and De Raedt, L. (2017) · 2017
Earlier work this paper cites.
Learning fine-grained expressions to solve math word problems
Huang, D., Shi, S., Lin, C.-Y., and Yin, J. (2017) · 2017
Cited alongside, same era.
Program induction by rationale generation: Learning to solve and explain algebraic word problems
Ling, W., Yogatama, D., Dyer, C., and Blunsom, P. (2017) · 2017
Cited alongside, same era.
Unit dependency graph and its application to arithmetic word problem solving
Roy, S. and Roth, D. (2017) · 2017
Cited alongside, same era.
Annotating derivations: A new evaluation strategy and dataset for algebra word problems
Upadhyay, S. and Chang, M.-W. (2017) · 2017
Cited alongside, same era.
Attention is all you need
Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, L. u., and Polosukhin, I. (2017) · 2017
Cited alongside, same era.
Deep neural solver for math word problems
Solving math word problems with multi-encoders and multi-decoders
Shen, Y. and Jin, C. (2020) · 2020
Later among the works it cites.
Distributed representations for arithmetic word problems
Sundaram, S. S., P, D., and Abraham, S. S. (2020) · 2020
Later among the works it cites.
A knowledge-aware sequence-to-tree network for math word problem solving
Wu, Q., Zhang, Q., Fu, J., and Huang, X. (2020) · 2020
Later among the works it cites.
A bottom-up dag structure extraction model for math word problems
Cao, Y., Hong, F., Li, H., and Luo, P. (2021) · 2021
Later among the works it cites.
GeoQA: A geometric question answering benchmark towards multimodal numerical reasoning
Chen, J., Tang, J., Qin, J., Liang, X., Liu, L., Xing, E., and Lin, L. (2021) · 2021
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Wang, Y., Liu, X., and Shi, S. (2017) · 2017
Cited alongside, same era.
BERT: pre-training of deep bidirectional transformers for language understanding
Devlin, J., Chang, M., Lee, K., and Toutanova, K. (2018) · 2018
Cited alongside, same era.
Using intermediate representations to solve math word problems
Huang, D., Yao, J.-G., Lin, C.-Y., Zhou, Q., and Yin, J. (2018) · 2018
Cited alongside, same era.
Deep contextualized word representations
Peters, M. E., Neumann, M., Iyyer, M., Gardner, M., Clark, C., Lee, K., and Zettlemoyer, L. (2018) · 2018
Cited alongside, same era.
Mapping to declarative knowledge for word problem solving
Roy, S. and Roth, D. (2018) · 2018
Cited alongside, same era.
Mathdqn: Solving arithmetic word problems via deep reinforcement learning
Wang, L., Zhang, D., Gao, L., Song, J., Guo, L., and Shen, H. T. (2018) · 2018
Cited alongside, same era.
MathQA: Towards interpretable math word problem solving with operation-based formalisms
Amini, A., Gabriel, S., Lin, S., Koncel-Kedziorski, R., Choi, Y., and Hajishirzi, H. (2019) · 2019
Cited alongside, same era.
Cobbe, K., Kosaraju, V., Bavarian, M., Hilton, J., Nakano, R., Hesse, C., and Schulman, J. (2021) · 2021
Later among the works it cites.
Faldu, K., Sheth, A. P., Kikani, P., Gaur, M., and Avasthi, A. (2021) · 2021
Later among the works it cites.
GraphMR: Graph neural network for mathematical reasoning
Feng, W., Liu, B., Xu, D., Zheng, Q., and Xu, Y. (2021) · 2021
Later among the works it cites.
Learning by fixing: Solving math word problems with weak supervision
Hong, Y., Li, Q., Ciao, D., Huang, S., and Zhu, S.-C. (2021) · 2021
Later among the works it cites.
Adversarial examples for evaluating math word problem solvers
Kumar, V., Maheshwary, R., and Pudi, V. (2021) · 2021
Later among the works it cites.
Mwptoolkit: An open-source framework for deep learning-based math word problem solvers
Lan, Y., Wang, L., Zhang, Q., Lan, Y., Dai, B. T., Wang, Y., Zhang, D., and Lim, E.-P. (2021) · 2021
Later among the works it cites.
Dynamic knowledge distillation for pre-trained language models
Li, L., Lin, Y., Ren, S., Li, P., Zhou, J., and Sun, X. (2021a) · 2021
Later among the works it cites.
MWP-BERT: A strong baseline for math word problems
Liang, Z., Zhang, J., Shao, J., and Zhang, X. (2021) · 2021
Later among the works it cites.
Solving math word problems with teacher supervision
Liang, Z. and Zhang, X. (2021) · 2021
Later among the works it cites.
Hms: A hierarchical solver with dependency-enhanced understanding for math word problem
Lin, X., Huang, Z., Zhao, H., Chen, E., Liu, Q., Wang, H., and Wang, S. (2021) · 2021
Later among the works it cites.
Measuring and improving BERT’s mathematical abilities by predicting the order of reasoning
Piękos, P., Malinowski, M., and Michalewski, H. (2021) · 2021
Later among the works it cites.
Neural-symbolic solver for math word problems with auxiliary tasks
Qin, J., Liang, X., Hong, Y., Tang, J., and Lin, L. (2021) · 2021
Later among the works it cites.
Generate & rank: A multi-task framework for math word problems
Shen, J., Yin, Y., Li, L., Shang, L., Jiang, X., Zhang, M., and Liu, Q. (2021) · 2021
Later among the works it cites.
Mapping probability word problems to executable representations
Suster, S., Fivez, P., Totis, P., Kimmig, A., Davis, J., de Raedt, L., and Daelemans, W. (2021) · 2021
Later among the works it cites.
Sequence to general tree: Knowledge-guided geometry word problem solving
Tsai, S.-h., Liang, C.-C., Wang, H.-M., and Su, K.-Y. (2021) · 2021
Later among the works it cites.
An edge-enhanced hierarchical graph-to-tree network for math word problem solving
Wu, Q., Zhang, Q., and Wei, Z. (2021a) · 2021
Later among the works it cites.
Improving math word problems with pre-trained knowledge and hierarchical reasoning
Yu, W., Wen, Y., Zheng, F., and Xiao, N. (2021) · 2021
Later among the works it cites.
Solving arithmetic word problems by scoring equations with recursive neural networks
Zaporojets, K., Bekoulis, G., Deleu, J., Demeester, T., and Develder, C. (2021) · 2021
Later among the works it cites.
Roda: Reverse operation based data augmentation for solving math word problems
Liu, Q., Guan, W., Li, S., Cheng, F., Kawahara, D., and Kurohashi, S. (2022) · 2022
Closest in time.
Are NLP models really able to solve simple math word problems?
Patel, A., Bhattamishra, S., and Goyal, N. (2021) · 2094
Closest in time.