In this review, we describe the application of one of the most popular deep learning-based language models - BERT. The paper describes the mechanism of operation of this model, the main areas of its application to the tasks of text analytics, comparisons with similar models in each task, as well as a description of some proprietary models. In preparing this review, the data of several dozen original scientific articles published over the past few years, which attracted the most attention in the scientific community, were systematized. This survey will be useful to all students and researchers who want to get acquainted with the latest advances in the field of natural language text analysis.
翻译:在这一审查中,我们描述了最受欢迎的深层次基于学习的语言模式之一――BERT的应用情况,本文描述了这一模式的运作机制、该模式在文本分析任务中的主要应用领域、与每项任务中类似模式的比较以及一些专有模式的描述,在编写这一审查时,对过去几年中发表的、在科学界最受关注的几十篇原始科学文章的数据进行了系统化,这项调查将有益于所有想了解自然语言文本分析领域最新进展的学生和研究人员。