Implementation of method for generating concept map from unstructured text in the Croatian language

Krunoslav Zubrinic, Ines Obradovic, Tomo Sjekavica
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引用次数: 7

Abstract

This paper describes implementation and evaluation of a method for automatic creation of concept map from unstructured text written in the Croatian language. The method combines statistical and data mining techniques with domain thesaurus and tools specific for linguistic analysis of the Croatian language. We created concept maps from legal documents in the field of science, education and technology and evaluated the content of created concept maps comparing them with manually created summaries. Obtained results confirmed that using the described method, it is possible to create concept maps from documents in a specific area, and those maps illustrate the contents of the source documents well.
实现了从克罗地亚语的非结构化文本生成概念图的方法
本文描述了一种从用克罗地亚语编写的非结构化文本自动创建概念图的方法的实现和评估。该方法将统计和数据挖掘技术与特定于克罗地亚语言语言分析的领域同义词典和工具相结合。我们从科学、教育和技术领域的法律文件中创建概念图,并对创建的概念图的内容进行评估,将其与人工创建的摘要进行比较。获得的结果证实,使用所描述的方法,可以从特定区域的文档创建概念图,并且这些图很好地说明了源文档的内容。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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