文本的层次结构:算法显示语义对象及其特征和功能

Koichi Sanoki
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引用次数: 0

摘要

本文探讨了层次在文本中的重要性,以期对其有充分的认识。自然语言处理算法可用于识别文本中的主要和次要思想、语义对象及其特征和功能。根据文本的复杂性和大小以及目的,按照这些步骤从一般概念到更具体的概念,这样的算法允许对文本内容进行更深入的分析。然而,完全理解仍然需要人类的技能,如推理和解释比喻语言。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hierarchical Structure of Texts: : Algorithm shows the Semantic Object, its characteristics, and functions
This article discusses the importance of hierarchy in the text for a full understanding. Natural language processing algorithms may be used to identify primary and secondary ideas, semantic objects, and their features and functions in texts. By following these steps from general concepts to more specific ones depending on the complexity and size of the text as well as its purpose, such algorithms allow for deeper analysis of textual content. However, full comprehension still requires human skills such as making inferences and interpreting figurative language.
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