EXPLORING AUTOMATED SUMMARIZATION: FROM EXTRACTION TO ABSTRACTION

EXPLORING AUTOMATED SUMMARIZATION: FROM EXTRACTION TO ABSTRACTION

This paper provides a review of AI-powered automated summarization models, with a focus on two principal approaches: extractive and abstractive. The study aims to evaluate the capabilities of these models in generating concise yet meaningful summaries and analyze their lexical proficiency and lingu...

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Bibliographic Details
Main Author: Svetlana G. Sorokina
Format: Article
Language:English
Published: Volgograd State University 2024-11-01
Series:Vestnik Volgogradskogo Gosudarstvennogo Universiteta. Seriâ 2. Âzykoznanie
Subjects:
automated summarization
extractive summarization
abstractive summarization
artificial intelligence
neural networks
interdisciplinary research
Online Access:https://l.jvolsu.com/index.php/en/archive-en/928-science-journal-of-volsu-linguistics-2024-vol-23-no-5/artificial-intelligence-potential-in-natural-language-processing-and-machine-translation/2842-sorokina-s-g-exploring-automated-summarization-from-extraction-to-abstraction
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https://l.jvolsu.com/index.php/en/archive-en/928-science-journal-of-volsu-linguistics-2024-vol-23-no-5/artificial-intelligence-potential-in-natural-language-processing-and-machine-translation/2842-sorokina-s-g-exploring-automated-summarization-from-extraction-to-abstraction

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