计算机工程与应用2019，Vol.55Issue(11)：7-15,9.DOI:10.3778/j.issn.1002-8331.1901-0056
面向任务口语理解研究现状综述
Review of Research on Task-Oriented Spoken Language Understanding
摘要
Abstract
Spoken Language Understanding(SLU), which includes two key sub-tasks slot filling and intent detection, is an important function module of the dialogue system. In recent years, joint recognition methods to solve slot filling and intent detection have become the mainstream methods of SLU. This paper introduces the methods of two sub-tasks, which develop from independent modeling to joint modeling. It focuses on the joint modeling methods based on deep neural network, analyzes current problems and future development trend of two sub-tasks.关键词
语义槽填充/意图识别/联合识别/深度神经网络Key words
slot filling/intent detection/joint recognition/deep neural network分类
信息技术与安全科学引用本文复制引用
侯丽仙,李艳玲,李成城..面向任务口语理解研究现状综述[J].计算机工程与应用,2019,55(11):7-15,9.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）
