Learning to Solve Geometry Problems from Natural Language Demonstrations in Textbooks-Reference-Cited by-同舟云学术

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Learning to Solve Geometry Problems from Natural Language Demonstrations in Textbooks

Published:2017 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 6th Joint Conference on Lexical and Computational Semantics (*SEM 2017)
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Author:

Sachan Mrinmaya,Xing Eric

Publisher

Association for Computational Linguistics

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Figuring Figures: An assessment of large language models on different modalities of math word problems;2024 9th International Conference on Machine Learning Technologies (ICMLT);2024-05-24

2. FGeo-DRL: Deductive Reasoning for Geometric Problems through Deep Reinforcement Learning;Symmetry;2024-04-05

3. FGeo-SSS: A Search-Based Symbolic Solver for Human-like Automated Geometric Reasoning;Symmetry;2024-03-30

4. Extracting structured information from the textual description of geometry word problems;Proceedings of the 2023 7th International Conference on Natural Language Processing and Information Retrieval;2023-12-15

5. A Symbolic Characters Aware Model for Solving Geometry Problems;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

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