Applying machine learning methods to identify argumentative connections in scientific communication texts
Natalia V. Salomatina,
Elena A. Sidorova,
Ivan S. Pimenov
Abstract:The paper presents the results of experiments to assess the machine learning methods applicability for solving the prob-lem of identifying argumentative connections in scientific communication texts. Argumentative connection is under-stood as a relationship that connects the premise and the conclusion of a typical reasoning or an argument used by the author to persuade the readers. To assess the quality, the characteristics of accuracy, completeness and F-measure were used obtained when solving the problem of … Show more
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