GAP: A Grammar and Position-Aware Framework for Efficient Recognition of Multi-Line Mathematical Formulas-Reference-Cited by-同舟云学术

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GAP: A Grammar and Position-Aware Framework for Efficient Recognition of Multi-Line Mathematical Formulas

Published:2024-03-04 Issue: Volume:35 Page:901-910
ISSN:
Container-title:Proceedings of the 17th ACM International Conference on Web Search and Data Mining
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Author:

Yang Zhe¹^ORCID,Liu Qi²^ORCID,Zhang Kai²^ORCID,Tong Shiwei¹^ORCID,Chen Enhong²^ORCID

Affiliation:

1. School of Computer Science and Technology, University of Science and Technology of China & State Key Laboratory of Cognitive Intelligence, Hefei, Anhui, China

2. School of Computer Science and Technology, University of Science and Technology of China & State Key Laboratory of Cognitive Intelligence, Hefei, China

Funder

the National Key Research and Development Program of China

the Anhui Provincial Natural Science Foundation

the Fundamental Research Funds for the Central Universities

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3616855.3635776

Reference50 articles.

1. Recognition of on-line handwritten mathematical expressions using 2D stochastic context-free grammars and hidden Markov models

2. Syntax-directed recognition of hand-printed two-dimensional mathematics

3. Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2015. Neural machine translation by jointly learning to align and translate. ICLR (2015).

4. Grammatical Error Correction with Contrastive Learning in Low Error Density Domains

5. Error detection, error correction and performance evaluation in on-line mathematical expression recognition

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