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Abstract <p>The purpose of this paper is to advance and automate language models for the extraction of statements related to events and factors from text documents using the designed linguistic marker system. The paper presents the outcomes of text-mining models of events and factors extraction approbation on the example of analytical research in the fields of human potential, namely, the social sciences and the humanities. The testing and evaluation of the used linguistic models are performed on the basis of the results comparison obtained in automatic mode, in manual mode (with the participation of expert-analytical validation) and semi-automatic mode (using the implemented system of linguistic markers). The introduced approaches resulted in higher performance in extracting statements containing events and factors.</p>

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Substantive Criteria for Referring Statements from Texts to Events and Factors

  • 期刊论文

  • 发表日期：

    2025年12月1日

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  • I. V. Loginova,
  • A. S. Piekalnits,
  • E. A. Sabidaeva,
  • M. S. Antasheva,
  • L. A. Morozov

摘要

Abstract

The purpose of this paper is to advance and automate language models for the extraction of statements related to events and factors from text documents using the designed linguistic marker system. The paper presents the outcomes of text-mining models of events and factors extraction approbation on the example of analytical research in the fields of human potential, namely, the social sciences and the humanities. The testing and evaluation of the used linguistic models are performed on the basis of the results comparison obtained in automatic mode, in manual mode (with the participation of expert-analytical validation) and semi-automatic mode (using the implemented system of linguistic markers). The introduced approaches resulted in higher performance in extracting statements containing events and factors.