Recognition and retrieval of mathematical expressions

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Continual Pre-training of Language Models for Math Problem Understanding with Syntax-Aware Memory Network (2022, methodology): “, Operator Tree (Zanibbi and Blostein, 2012)), then network embedding method (Mansouri et al.”
Tangent-CFT: An Embedding Model for Mathematical Formulas (2019, background): “SLTs represent the placement of symbols on baselines along with their spatial arrangement [20].”
Handwritten Optical Character Recognition (OCR): A Comprehensive Systematic Literature Review (SLR) (2020, background): “Organizations are satisfying the needs of digital preservation of historic data [4], law documents [5], educational persistence [6] etc.”
MathBERT: A Pre-Trained Model for Mathematical Formula Understanding (2021, background): “Second, and most important, OPT plays a crucial role in incorporating semantic-level structural information for the reason that it contains mathematical syntax and semantics which guides the recovery of mathematical operations [ Zanibbi and Blostein, 2012 ] .”