Conţinutul numărului revistei |
Articolul precedent |
Articolul urmator |
100 2 |
Ultima descărcare din IBN: 2024-02-21 19:48 |
Căutarea după subiecte similare conform CZU |
37.016:004 (110) |
Fundamentals of education. Theory. Policy etc. (3934) |
Computer science and technology. Computing. Data processing (4184) |
SM ISO690:2012 PARAHONCO, Alexandr, PETIC, Mircea. Supplementing elearning systems with adaptive content generation elements. In: Computer Science Journal of Moldova, 2023, vol. 31, nr. 3(93), pp. 351-366. ISSN 1561-4042. DOI: https://doi.org/10.56415/csjm.v31.18 |
EXPORT metadate: Google Scholar Crossref CERIF DataCite Dublin Core |
Computer Science Journal of Moldova | ||||||
Volumul 31, Numărul 3(93) / 2023 / ISSN 1561-4042 /ISSNe 2587-4330 | ||||||
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DOI:https://doi.org/10.56415/csjm.v31.18 | ||||||
CZU: 37.016:004 | ||||||
Pag. 351-366 | ||||||
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Rezumat | ||||||
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. |
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Cuvinte-cheie eLearning systems, text summarization, evaluation metrics, Datasets, data analysis |
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