Classifying Mathematical Expressions Written in MathML

Kim, Shinil; Yang, Sen

doi:10.1587/transinf.e95.d.2560

Cited by 2 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We compared our method, our method without dimensionality reduction, and the SVM-based method proposed by Kim et al [3]. They define five features: labels of nodes (Tag), texts of mo elements which represent operators (Operator), texts of mi elements which represent identifiers (Identifier), bigram of plain text in expressions (String Bigram), and bigram of identifier and operator (I&O).…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Classifying MathML Expressions by Multilayer Perceptron

Nagao

Suzuki

2018

IEICE Trans. Inf. & Syst.

View full text Add to dashboard Cite

MathML is a standard markup language for describing math expressions. MathML consists of two sets of elements: Presentation Markup and Content Markup. The former is widely used to display math expressions in Web pages, while the latter is more suited to the calculation of math expressions. In this letter, we focus on the former and consider classifying Presentation MathML expressions. Identifying the classes of given Presentation MathML expressions is helpful for several applications, e.g., Presentation to Content MathML conversion, text-to-speech, and so on. We propose a method for classifying Presentation MathML expressions by using multilayer perceptron. Experimental results show that our method classifies MathML expressions with high accuracy.

show abstract

Section: Resultsmentioning

confidence: 99%

“…Kim et al [3] propose a classification method for Presentation MathML expressions. They extract features from MathML expressions and classify them by using support vector machine (SVM).…”

Section: Related Workmentioning

confidence: 99%