The paper presents results of a study of methods for a mental structure detection in scientific text. Initially, we consider the concepts of mental operations and mental structure of a scientific text. The reasons for choosing the taxonomy for mental operations used in our approach are also presented. We set the problem of mental operations detection in texts and propose the methods for solving it. An empirical study on an annotated dataset and on a corpus of more than 7k scientific articles showed the applicability of the proposed methods for detection a mental structure of a scientific text. Informative features of mental structures of texts from different research areas were also detected.
Download PDF from the Institute for Systems Analysis of Russian Academy of Sciences website (in Russian): www.isa.ru/aidt/images/documents/2018-02/36-46.pdf
At the Artificial Intelligence and Decision Making journal website: http://aidt.ru/index.php?option=com_content&view=article&id=797&lang=en
Read or download PDF from Academia.edu (in Russian): https://www.academia.edu/32605359/Методы_автоматического_выявления_ментальных_действий_в_текстах_научных_публикаций
Devyatkin D. A., Kuznetsova Yu. M., Chudova N. V. Methods of automatic detection of mental actions in the texts of scientific publications. Part I // Artificial Intelligence and Decision Making. - 2018. - No. 2. – Page 36-46.