Special Issue on “Natural Language Processing: Emerging Neural Approaches and Applications”

This study presents basic concepts embedded in the scientific field of artificial intelligence with an emphasis on key aspects and methods of application. Concepts such as machine learning with its varieties such as supervised, unsupervised machine learning and reinforcement learning are explored, emphasizing the importance of machine learning, which allows systems to adapt and improve without explicit programming. The specifics of deep machine learning are discussed, with an emphasis on their capacity to process complex data and extract patterns. The article also examines some of the areas that make up artificial intelligence, such as natural language processing, large language models, computer vision, generative artificial intelligence, and others. By discussing these key concepts, the article aims to provide a basic understanding of the application and potential of artificial intelligence in various spheres of society.

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Special Issue on “Natural Language Processing: Emerging Neural Approaches and Applications”

Abstract: Nowadays, systems based on artificial intelligence are being developed, leading to impressive achievements in a variety of complex cognitive tasks, matching or even beating humans [...]

Cited by 3 publications

References 40 publications

Improved word vector space with ensemble deep learning model for language identification

Improved word vector space with ensemble deep learning model for language identification

Perspectives on the Development of Intelligent Control Technology in the Field of Artificial Intelligence

Artificial Intelligence: Basic Concepts

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