A Framework of Cross-Modal Learning for Solving Geometry Problems

This paper presents a framework of deep cross-modal learning networks for solving geometry problems. Existing geometry solvers either focus on single-modal problems or multi-modal problems, and they cannot fit each other. In this paper, we propose a cross-modal learning architecture for solving geom...

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Vydané v:	Proceedings of IEEE International Conference on Teaching, Assessment, and Learning for Engineering (Online) s. 506 - 512
Hlavní autori:	Guo, Fucheng, Jian, Pengpeng, Wang, Yanli, Wang, Qingjiang
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 05.12.2021
Predmet:	Automatic solver Cognition cross-modal learning Education Feature extraction Geometry geometry problems Head shared encoder-decoder Transformers Transforms
ISSN:	2470-6698
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