The DeLiVerMATH Project: Text Analysis in Mathematics

机译：DeLiVerMATH项目：数学中的文本分析

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A high-quality content analysis is essential for retrieval functionalities but the manual extraction of key phrases and classification is expensive. Natural language processing provides a framework to automatize the, process. Here, a machine-based approach for the content analysis of mathematical texts is described. A prototype for key phrase extraction and classification of mathematical texts is presented.

机译：高质量的内容分析对于检索功能至关重要，但手动提取关键短语和分类非常昂贵。自然语言处理提供了使流程自动化的框架。这里，描述了一种用于数学文本内容分析的基于机器的方法。提出了用于短语提取和数学文本分类的原型。

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《Intelligent computer mathematics》|2013年|379-382|共4页
会议地点 Bath(GB)
作者
Ulf Schoeneberg; Wolfram Sperber;
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FIZ Karlsruhe/Zentralblatt MATH, Franklinstr. 11, 10587 Berlin, Germany;

FIZ Karlsruhe/Zentralblatt MATH, Franklinstr. 11, 10587 Berlin, Germany;

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The DeLiVerMATH Project: Text Analysis in Mathematics

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