使用文本骨架结构开发语义搜索方法

IF 0.5 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS

AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS Pub Date : 2023-11-24 DOI:10.3103/S0005105523050072

A. V. Mylnikova, V. A. Trusov, L. A. Mylnikov

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引用次数: 0

摘要

本文考虑了描述符的生成问题，通过使用作者、地域、情感意义和流行度等新的因素，以及一个没有特殊标记的文本类别来生成描述符，以减少数据量、文本数据资源和搜索次数。这种方法允许使用独特的词汇语法和分布文本规则。研究结果可用于确定作者和文本类型。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Use of Text Skeleton Structures for the Development of Semantic Search Methods

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Use of Text Skeleton Structures for the Development of Semantic Search Methods

This paper considers the problem of the generation of descriptors to reduce data volumes, text data resources, and search times through the use of the new factors of authorship, region, emotive meaning, and popularity, as well as a text category without special marks that can be used to generate descriptors. This approach allows the use of unique lexical-grammatical and distributive text regularities. The research outcomes can be used to determine authorship and text type.

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来源期刊

AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS COMPUTER SCIENCE, INFORMATION SYSTEMS-

自引率

40.00%

发文量

期刊介绍： Automatic Documentation and Mathematical Linguistics is an international peer reviewed journal that covers all aspects of automation of information processes and systems, as well as algorithms and methods for automatic language analysis. Emphasis is on the practical applications of new technologies and techniques for information analysis and processing.