METAGRAPH THEORY AS A BASIS FOR MODELING RELEVANT MEDIA DISCOURSE

METAGRAPH THEORY AS A BASIS FOR MODELING RELEVANT MEDIA DISCOURSE

This article is devoted to modeling media discourse based on a combination of a complex graph model and a multidimensional model. Despite significant advances in the field of neural network text processing, the task of modeling text and media discourse remains relevant. Large language models cannot...

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Bibliographic Details
Main Author: Yuriy E. Gapanyuk
Format: Article
Language:English
Published: Volgograd State University 2024-11-01
Series:Vestnik Volgogradskogo Gosudarstvennogo Universiteta. Seriâ 2. Âzykoznanie
Subjects:
media discourse
text processing
metagraph
metavertex
metaedge
metagraph agent
multidimensional metagraph model
hypercube
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/2838-gapanyuk-yu-e-metagraph-theory-as-a-basis-for-modeling-relevant-media-discourse
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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/2838-gapanyuk-yu-e-metagraph-theory-as-a-basis-for-modeling-relevant-media-discourse

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