文章基本信息

标题：Research Progress of Automatic Question Answering System Based on Deep Learning
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作者：Shiyao Zhao ; Zhezhi Jin
期刊名称：Open Access Library Journal
印刷版ISSN：2333-9705
电子版ISSN：2333-9721
出版年度：2020
卷号：7
期号：6
页码：1-6
DOI：10.4236/oalib.1106046
语种：English
出版社：Scientific Research Pub
摘要：With the rapid development of deep learning, a large number of machine reading comprehension models based on deep learning have emerged. Firstly, the paper points out the shortcomings of traditional search engines and explains the advantages of automatic question answering systems compared with them. Secondly, it summarizes the development process of the deep learning-based machine reading comprehension model, and expounds the overall framework and operation principle of the model, as well as the advantages and application scope of the model. Finally, it points out where the development trend lies, and lays the foundation for follow-up researchers.
关键词：Natural Language ProcessingDeep LearningMachine Reading ComprehensionAutomatic Question AnsweringAttention Mechanism