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A Study of Pre-trained Language Models in Natural Language Processing

  • Jiajia Duan
  • , Hui Zhao
  • , Qian Zhou
  • , Meikang Qiu
  • , Meiqin Liu
  • Henan University
  • Yellow River Water Conservancy Vocational and Technical College
  • Harrisburg University of SandT
  • Zhejiang University

科研成果: 书/报告/会议事项章节会议稿件同行评审

29 引用 (Scopus)

摘要

Pre-trained Language Model (PLM) is a very popular topic in natural language processing (NLP). It is the rapid development of pre-trained language models (PLMs) that has led to the achievements of natural language today. In this article, we give a review of important PLMs. First, we generally introduce the development history and achievements of PLMs. Second, we present several extraordinary PLMs, including BERT, the variants of BERT, Multimodal PLMs, PLMs combined with Knowledge Graph and PLMs applied to natural language generation. In the end, we summarize and look into the future of PLMs. We expect this article will provide a practical guide for learners to understanding, using and developing PLMs with the abundant literature existing for various NLP tasks.

源语言英语
主期刊名Proceedings - 2020 IEEE International Conference on Smart Cloud, SmartCloud 2020
出版商Institute of Electrical and Electronics Engineers Inc.
116-121
页数6
ISBN(电子版)9781728165479
DOI
出版状态已出版 - 11月 2020
已对外发布
活动5th IEEE International Conference on Smart Cloud, SmartCloud 2020 - Washington, 美国
期限: 6 11月 20208 11月 2020

出版系列

姓名Proceedings - 2020 IEEE International Conference on Smart Cloud, SmartCloud 2020

会议

会议5th IEEE International Conference on Smart Cloud, SmartCloud 2020
国家/地区美国
Washington
时期6/11/208/11/20

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