Title: Review and analysis for state-of-the-art NLP models

Authors: Subrit Dikshit; Rahul Dixit; Abhiram Shukla

Addresses: Department of Computer Science and Engineering, Indian Institute of Information Technology, Pune, India ' Department of Computer Science and Engineering, Indian Institute of Information Technology, Pune, India ' Department of Civil Engineering, Indian Institute of Technology, Kanpur, India

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.

Keywords: artificial intelligence; AI; natural language processing; NLP.

DOI: 10.1504/IJSCC.2024.135183

International Journal of Systems, Control and Communications, 2024 Vol.15 No.1, pp.48 - 78

Received: 17 May 2023
Accepted: 15 Jul 2023
Published online: 01 Dec 2023 *

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