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Natural Language Processing: An Overview of Models, Transformers and Applied Practices
Computer Science and Information Systems, Tome 21 (2024) no. 3 Cet article a éte moissonné depuis la source Computer Science and Information Systems website

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The study of utilizing human language in computer systems referred to as NLP, is becoming increasingly significant in various aspects of life, including research, daily activities, commerce, and entrepreneurship endeavors. A multitude of tech companies are dedicating resources towards the development and improvement of NLP methods, models, and products. To add to that, open-source contributions to the field are on the rise. However, with so much progress being made, it may be challenging to understand the current state of NLP and what models are considered to be the most efficient. To help those grappling with the fast-paced and constantly evolving NLP landscape, we have put together a comprehensive overview of the latest NLP research and advancements.
Keywords: NLP, Deep Learning, Transformers 
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Santiago Canchila; Carlos Meneses-Eraso; Javier Casanoves-Boix; Pascual Cortés-Pellicer; Fernando Castelló-Sirvent. Natural Language Processing: An Overview of Models, Transformers and Applied Practices. Computer Science and Information Systems, Tome 21 (2024) no. 3. http://geodesic.mathdoc.fr/item/CSIS_2024_21_3_a20/