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Classifying Mathematical Expressions Written in MathML

机译:对用MathML编写的数学表达式进行分类

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In this paper, we study how to automatically classify mathematical expressions written in MathML (Mathematical Markup Language). It is an essential preprocess to resolve analysis problems originated from multi-meaning mathematical symbols. We first define twelve equation classes based on chapter information of mathematics textbooks and then conduct various experiments. Experimental results show an accuracy of 94.75%, by employing the feature combination of tags, operators, strings, and “identifier & operator” bigram.
机译:在本文中,我们研究了如何自动对用MathML(数学标记语言)编写的数学表达式进行分类。解决源自多含义数学符号的分析问题是至关重要的预处理。我们首先根据数学教科书的章节信息定义十二个方程类,然后进行各种实验。实验结果表明,通过使用标签,运算符,字符串和“ identifier&operator” bigram的特征组合,可以达到94.75%的精度。

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