Research Article
A Survey on Intelligent Question and Answer Systems
@INPROCEEDINGS{10.1007/978-3-031-23902-1_7, author={Xuechao Guo and Bin Zhao and Bo Ning}, title={A Survey on Intelligent Question and Answer Systems}, proceedings={Mobile Multimedia Communications. 15th EAI International Conference, MobiMedia 2022, Virtual Event, July 22-24, 2022, Proceedings}, proceedings_a={MOBIMEDIA}, year={2023}, month={2}, keywords={Intelligent question and answer systems Information retrieval Natural language processing Deep learning}, doi={10.1007/978-3-031-23902-1_7} }- Xuechao Guo
Bin Zhao
Bo Ning
Year: 2023
A Survey on Intelligent Question and Answer Systems
MOBIMEDIA
Springer
DOI: 10.1007/978-3-031-23902-1_7
Abstract
With the rapid development of technology in society, people are surrounded by all kinds of data in the information age. So the means to access external information accurately and quickly have become particularly important. Currently, intelligent question and answer systems are a promising area of research in the field of artificial intelligence and natural language processing. As an interactive system, it significantly differs from traditional search engines. When people perform advanced information retrieval, it can accurately understand the natural language questions asked by the user and give the user a corresponding answer using natural language, which meets people’s needs for quickly, easily and accurately accessing information. Intelligent question and answer systems are already widely used in people’s daily life, such as common intelligent voice interaction, online customer service, knowledge acquisition, emotional chat, etc. Deep learning, a branch of machine learning, is now widely used for various tasks in natural language processing. This paper focuses on the applications of deep learning to intelligent question and answer systems.
