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A Transformer-based Math Language Model for Handwritten Math Expression Recognition
Handwritten mathematical expressions (HMEs) contain ambiguities in their interpretations, even for humans sometimes.
Global Context for improving recognition of Online Handwritten Mathematical Expressions
The classification model is trained by multiple paths of symbols and spatial relations derived from the Symbol Relation Tree (SRT) representation of HMEs.
Learning symbol relation tree for online mathematical expression recognition
The recognition system has two parts: a temporal classifier and a tree connector.
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