关键词: 问答系统, 问句分类, 分类体系, 机器学习, 深度学习

Abstract:

As a high-level form of information retrieval, the Question Answering system（QA）can quickly and accurately provide users with the required information services. After giving a question, an accurate answer will be given accordingly, which makes it become a more and more attention research direction  in the field of natural language processing. Question Classification（QC）is the most important part of question analysis and processing in the QA, and its classification accuracy will directly affect the overall performance of the QA. In recent years, the rapid development of machine learning and deep learning technologies has greatly promoted the research and development of QC, which has strong feasibility and superiority in question classification. This paper summarizes and analyzes the domestic and foreign research status of QC, question classification standard system, question feature extraction, traditional machine learning classification methods and recently popular deep learning classification methods, and elaborates the current status of QC. This paper expounds research difficulties in QC, and makes preliminary prospects for future research and development directions.

Key words: question answering system, question classification, classification system, machine learning, deep learning