{"title":"Taking the Structure of the Document into Account in the Method of Automatic Annotation of Mathematical Concepts in Educational Texts","authors":"K. S. Nikolaev","doi":"10.3103/S0005105525700293","DOIUrl":null,"url":null,"abstract":"<p>The enrichment of educational texts with semantic content (in particular, adding hyperlinks to the pages of a service that displays detailed information about concepts in the text) helps increase efficiency in students’ assimilation of the material. Existing methods of semantic markup of educational texts do not take into account the structural features of such documents, and this leads to an excessive recognition of concepts. This article describes the development of the method of automatic annotation of mathematical concepts in educational and mathematical texts by adding functionality to account for the structure of an educational document. The main purpose of this method is to process educational materials of the distance education course Technology for Solving Planimetric Problems. Following a single template when creating course pages allows you to apply an analysis of webpage markup and keywords that are used by the course creators. The main task in this process is to determine the type of table cell containing text fragments of educational materials. In accordance with the recommendations of the course creators, definitions should be highlighted in the cells that contain the task statement, as well as in the blocks where the input data of the task is indicated. The type of table cells is determined by analyzing their attributes and searching for keywords in their contents. This limitation of recognizable text fragments will improve the student’s perception of the course pages and improve the quality of their learning.</p>","PeriodicalId":42995,"journal":{"name":"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS","volume":"58 4 supplement","pages":"S227 - S233"},"PeriodicalIF":0.5000,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.3103/S0005105525700293","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
The enrichment of educational texts with semantic content (in particular, adding hyperlinks to the pages of a service that displays detailed information about concepts in the text) helps increase efficiency in students’ assimilation of the material. Existing methods of semantic markup of educational texts do not take into account the structural features of such documents, and this leads to an excessive recognition of concepts. This article describes the development of the method of automatic annotation of mathematical concepts in educational and mathematical texts by adding functionality to account for the structure of an educational document. The main purpose of this method is to process educational materials of the distance education course Technology for Solving Planimetric Problems. Following a single template when creating course pages allows you to apply an analysis of webpage markup and keywords that are used by the course creators. The main task in this process is to determine the type of table cell containing text fragments of educational materials. In accordance with the recommendations of the course creators, definitions should be highlighted in the cells that contain the task statement, as well as in the blocks where the input data of the task is indicated. The type of table cells is determined by analyzing their attributes and searching for keywords in their contents. This limitation of recognizable text fragments will improve the student’s perception of the course pages and improve the quality of their learning.
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.