NLP Research Based on Transformer Model

IF 3.7 3区计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS

Journal of Cloud Computing-Advances Systems and Applications Pub Date : 2023-07-01 DOI:10.1109/CSCloud-EdgeCom58631.2023.00065

Junjie Wu, Xueting Huang, Jingnian Liu, Yingzi Huo, Gaojing Yuan, Ronglin Zhang

引用次数: 0

Abstract

Natural language processing technology is an important research area in artificial intelligence which occupies a pivotal position in deep learning. This paper describes in detail the research of NLP based on Transformer structure, thus showing its ultra-high performance and development prospects. Therefore, this article provides a detailed description of the research on NLP based on the Transformer structure, in order to demonstrate its ultra-high performance and development prospects.

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基于变压器模型的自然语言处理研究

自然语言处理技术是人工智能的一个重要研究领域，在深度学习中占有举足轻重的地位。本文详细介绍了基于变压器结构的自然语言处理的研究，从而展示了其超高性能和发展前景。因此，本文对基于Transformer结构的NLP研究进行了详细的描述，以展示其超高性能和发展前景。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Cloud Computing-Advances Systems and Applications Computer Science-Computer Networks and Communications

CiteScore

6.80

自引率

7.50%

发文量

审稿时长

75 days

期刊介绍： The Journal of Cloud Computing: Advances, Systems and Applications (JoCCASA) will publish research articles on all aspects of Cloud Computing. Principally, articles will address topics that are core to Cloud Computing, focusing on the Cloud applications, the Cloud systems, and the advances that will lead to the Clouds of the future. Comprehensive review and survey articles that offer up new insights, and lay the foundations for further exploratory and experimental work, are also relevant.