计算机工程与应用2019，Vol.55Issue(12)：1-7,43,8.DOI:10.3778/j.issn.1002-8331.1902-0129
人机对话系统中意图识别方法综述
Review of Intent Detection Methods in Human-Machine Dialogue System
摘要
Abstract
Spoken Language Understanding(SLU)is a vital part of the human-machine dialogue system, which includes an important sub-task called intent detection. The accuracy of intent detection is directly related to the performance of semantic slot filling, and it is helpful to the following research of the dialogue system. Considering the difficulty of intent detection in human-machine dialogue system, the traditional machine learning methods cannot understand the deep semantic information of user’s discourse. This paper mainly analyzes, compares and summarizes the deep learning methods applied in the research of intent detection in recent years, and further considers how to apply deep learning model to multi-intent detection task, so as to promote the research of multi-intent detection methods based on deep neural network.关键词
意图识别/口语理解/对话系统/人工智能Key words
intent detection/ Spoken Language Understanding(SLU)/ dialogue system/ artificial intelligence分类
信息技术与安全科学引用本文复制引用
刘娇,李艳玲,林民..人机对话系统中意图识别方法综述[J].计算机工程与应用,2019,55(12):1-7,43,8.基金项目
国家自然科学基金(No.61562068,No.11704229,No.61640204,No.61806103) （No.61562068,No.11704229,No.61640204,No.61806103）
内蒙古自然科学基金(No.2017MS0607) （No.2017MS0607）
内蒙古民委蒙古文信息化专项扶持子项目(No.MW-2014-MGYWXXH-01) （No.MW-2014-MGYWXXH-01）
内蒙古自治区"草原英才"工程青年创新创业人才项目 （）
内蒙古师范大学研究生创新基金(No.CXJJS18112). （No.CXJJS18112）
