RO  EN
IMI/Publicaţii/CSJM/Ediţii/CSJM v.31, n.3 (93), 2023/

Supplementing elearning systems with adaptive content generation elements

Authors: Alexandr Parahonco, Petic Mircea
Keywords: elearning systems, text summarization, evaluation metrics, datasets, data analysis.

Abstract

The paper describes automatic summarization as one of the topic that helps elearning system to be more adaptable on content generation. This article treat automatic summarization with approaches that provide the ability to summarize texts for different languages. In the case of this article, it is about the English, Romanian and Russian languages. The paper contains both the description of the problem and different approaches already used by other researchers. Next, the data with which the automatic summarization experiments were carried out were described. The metrics with which we can evaluate the quality of the summarization result were presented. Finally, some thoughts were formulated regarding the results obtained in the experiment.

Alexandr Parahonco1, Mircea Petic2
1 ORCID: https://orcid.org/0009-0007-3486-5597
Vladimir Andrunachievici Institute of Mathematics and Computer Science, Alecu
Russo Balti State University
E-mail:

2 ORCID: https://orcid.org/0000-0001-6044-7646
Vladimir Andrunachievici Institute of Mathematics and Computer Science
E-mail:

DOI

https://doi.org/10.56415/csjm.v31.18

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