Research frontiers of pre-training mathematical models based on BERT
Guang Li, Wennan Wang, Liukai Zhu, Jun Peng, Xujia Li, Ruijie Luo · 2022 IEEE International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA) · 2022
Natural language processing (NLP) is a popular technology after the rise of big data and machine learning in recent years. With the development of deep learning, the field of natural language processing has also undergone a landmark transformation, including the emergence of the BERT large-scale language training model. The emergence of this model makes text mining a qualitative leap, meets more practical needs, and solves the related problems of feature vectorization of unstructured data. This article will sort out the connotation, task application, and main optimization and improvement methods of the BERT pre-training model released by Google, and provide a reference for subsequent related research and development based on BERT.