Natural language processing: An overview of models, transformers and applied practices
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Published:2024
Issue:3
Volume:21
Page:1097-1145
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ISSN:1820-0214
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Container-title:Computer Science and Information Systems
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language:en
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Short-container-title:ComSIS
Author:
Canchila Santiago1, Meneses-Eraso Carlos1, Casanoves-Boix Javier2, Cortés-Pellicer Pascual3, Castelló-Sirvent Fernando3
Affiliation:
1. Universidad Sergio Arboleda, Calle, Bogotá, Colombia 2. Universidad Alfonso X El Sabio, Avda. de la Universidad, Villanueva de la Cañada, Madrid, Spain 3. Department of Business Management Universitat Politècnica de València (UPV), Camí de Vera, València, Spain
Abstract
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.
Publisher
National Library of Serbia
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