Review and analysis for state-of-the-art NLP models
by Subrit Dikshit; Rahul Dixit; Abhiram Shukla
International Journal of Systems, Control and Communications (IJSCC), Vol. 15, No. 1, 2024

Abstract: Natural language processing (NLP) is an area of research and study that makes it possible for computers to comprehend human language by utilising software engineering concepts from computer science and artificial intelligence. This work presents seven classifications and 21 state-of-the-art models with a survey of the operating principles. We also provide a comparative study of all models based on metrics such as accuracy, F1 score, exact match, squad scores, glue and superglue dataset scores.

Online publication date: Fri, 01-Dec-2023

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