Features of the Knowledge Base of the System of Automated Construction of Logic and Linguistic Models of Text Documents

Anastasiia Vavilenkova
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Abstract

The article outlines the problem of finding meaningful units in electronic text documents and analyzes the main shortcomings of existing approaches of extracting knowledge from textual information. The article is devoted to the study of the peculiarities of the process of construction of logic and linguistic models of electronic text documents, in particular the description and research of the peculiarities of knowledge bases of the system of automated construction of logic and linguistic models of Ukrainian- language text documents. The author proposes a scheme of formalization of textual information based on the construction of a logic and linguistic model of an electronic text document. The first stage of construction is the formation of logical and linguistic models of natural language sentences, which uses a specially developed method of automated formation of logical and linguistic models. This method is based on parsing sentences of natural language, using words of natural language as a thesaurus database and using a database of rules to identify logical connections. This in turn is made possible by the author’s developed knowledge base 1, which is used to determine the role of each word in an electronic text document and serves as a production model with formalized rules of the Ukrainian language for forming phrases that can form members of sentence of natural language. The knowledge base 2 was created by the author to find connections between sentences that are part of an electronic text document and is a set of productions that reflect the principles of synthesis of logic and linguistic models of sentences of natural language, ie the rules of combining and replacing structural components of logic and linguistic models of sentences of natural language. The knowledge base 3, used to build the linguistic component of the logic and linguistic model of a text document, is a set of productions that contains the rules of forming of transition networks to interpret the thematic progression of the text. The application of the developed formalized rules was demonstrated on specific text fragments. Applying the developed knowledge bases allows to trace the process of formation of logic and linguistic models of electronic text documents.
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文本文档逻辑与语言模型自动构建系统知识库的特点
本文概述了在电子文本文档中寻找有意义单位的问题,分析了现有的从文本信息中提取知识的方法的主要缺点。本文致力于研究电子文本文档的逻辑和语言模型构建过程的特点,特别是乌克兰语文本文档的逻辑和语言模型自动构建系统的知识库的特点的描述和研究。作者在构建电子文本文档的逻辑和语言模型的基础上,提出了一种文本信息形式化方案。构建的第一阶段是自然语言句子的逻辑和语言模型的形成,它使用一种专门开发的逻辑和语言模型自动形成的方法。该方法基于对自然语言句子的解析,使用自然语言单词作为同义词库,使用规则库识别逻辑连接。这反过来又由作者开发的知识库1实现,该知识库用于确定电子文本文档中每个单词的角色,并作为具有乌克兰语形式化规则的生产模型,用于形成可以构成自然语言句子成员的短语。知识库2是作者为寻找电子文本文档中句子之间的联系而创建的,是一组反映自然语言句子的逻辑和语言模型的综合原则的产物,即自然语言句子的逻辑和语言模型的结构成分的组合和替换规则。知识库3用于构建文本文档的逻辑和语言模型的语言组件,是一组包含转换网络形成规则的产品,以解释文本的主题进展。在具体的文本片段上演示了所开发的形式化规则的应用。利用开发的知识库可以跟踪电子文本文档的逻辑和语言模型的形成过程。
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