Who cites «Learning To Use Formulas To Solve Simple Arithmetic Problems»
- Generating Pedagogically Meaningful Visuals for Math Word Problems: A New Benchmark and Analysis of Text-to-Image Models — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
- Instructing Large Language Models to Identify and Ignore Irrelevant Conditions — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
- It Ain''t Over: A Multi-aspect Diverse Math Word Problem Dataset — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- Math Word Problem Solving by Generating Linguistic Variants of Problem Statements — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)
- Non-Autoregressive Math Word Problem Solver with Unified Tree Structure — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- World Models for Math Story Problems — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
- ArMATH: a Dataset for Solving Arabic Math Word Problems — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
- Why are NLP Models Fumbling at Elementary Math? A Survey of Deep Learning based Word Problem Solvers — 2022 · arXiv 2205.15683
- Generate & Rank: A Multi-task Framework for Math Word Problems — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
- Improving Math Word Problems with Pre-trained Knowledge and Hierarchical Reasoning — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- Learning by Fixing: Solving Math Word Problems with Weak Supervision — 2021 · AAAI 2021 (arXiv 2012.10582)
- Math Word Problem Solving with Explicit Numerical Values — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
- NOAHQA: Numerical Reasoning with Interpretable Graph Question Answering Dataset — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
- Neural-Symbolic Solver for Math Word Problems with Auxiliary Tasks — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
- Sequence to General Tree: Knowledge-Guided Geometry Word Problem Solving — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
- TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
- Towards Tractable Mathematical Reasoning: Challenges, Strategies, and Opportunities for Solving Math Word Problems — 2021 · arXiv 2111.05364
- Graph-to-Tree Learning for Solving Math Word Problems — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
- Semantically-Aligned Universal Tree-Structured Solver for Math Word Problems — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
- Solving Math Word Problems with Multi-Encoders and Multi-Decoders — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
- A Goal-Driven Tree-Structured Neural Model for Math Word Problems — 2019 · IJCAI 2019
- EQUATE: A Benchmark Evaluation Framework for Quantitative Reasoning in Natural Language Inference — our card · 2019 · Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)
- Modeling Intra-Relation in Math Word Problems with Different Functional Multi-Head Attentions — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
- Quantity Tagger: A Latent-Variable Sequence Labeling Approach to Solving Addition-Subtraction Word Problems — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
- SemEval-2019 Task 10: Math Question Answering — 2019 · Proceedings of the 13th International Workshop on Semantic Evaluation
- Template-Based Math Word Problem Solvers with Recursive Neural Networks — 2019 · AAAI 2019
- Text2Math: End-to-end Parsing Text into Math Expressions — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
- The Gap of Semantic Parsing: A Survey on Automatic Math Word Problem Solvers — 2019 · IEEE TPAMI 42(9), 2020 (arXiv 1808.07290)
- A Meaning-Based Statistical English Math Word Problem Solver — 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)
- Mapping to Declarative Knowledge for Word Problem Solving — our card · 2018
- MathDQN: Solving Arithmetic Word Problems via Deep Reinforcement Learning — 2018 · AAAI 2018
- Neural Math Word Problem Solver with Reinforcement Learning — 2018 · Proceedings of the 27th International Conference on Computational Linguistics
- Numeracy for Language Models: Evaluating and Improving their Ability to Predict Numbers — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Translating a Math Word Problem to a Expression Tree — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
- Translating a Math Word Problem to an Expression Tree — 2018 · arXiv:1811.05632
- Using Intermediate Representations to Solve Math Word Problems — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Coreference Resolution on Math Problem Text in Japanese — 2017 · Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
- Deep Neural Network based system for solving Arithmetic Word problems — 2017 · Proceedings of the IJCNLP 2017, System Demonstrations
- Deep Neural Solver for Math Word Problems — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
- Learning Fine-Grained Expressions to Solve Math Word Problems — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
- Semantic Parsing of Pre-university Math Problems — 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- dinu-2020-joint-translation-unit-conversion-end
- griffith-2020-solving-arithmetic-word-problems-transformer
- kim-2023-athena-mathematical-reasoning-thought-expansion
- liu-2019-aifu-semeval-2019-task-10
- mandal-2017-natural-language-programing-automatic-code
- mishra-2018-equgener-reasoning-network-word-problem
- sundaram-2017-reasoning-sets-solve-simple-word
- yigit-2024-data-augmentation-context-learning-comparative
- zhang-2023-techniques-improve-neural-math-word
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