摘要
介绍自然语言处理发展历程和关键技术,结合智能运营、智能装备和智能建造3大领域,分析并总结自然语言处理相关技术在智能客服、安全管控、资产档案、智能维修、决策辅助和督查校验等方面的应用。通过对这些前沿应用的发展综述和探索发掘,论证自然语言处理相关技术方法可以成为铁路行业完成智能铁路转变的助力,并且随着自然语言处理领域自身的不断发展和突破,为铁路的智能化进程带来更显著的变革。
This paper introduced the development process and key technologies of natural language processing.Combined with the three fields of intelligent operation,intelligent equipment and intelligent manufacturing,the application of natural language processing's related technologies in intelligent customer service,safety control,asset archives,intelligent maintenance,decision support and inspection and calibration was analyzed and summarized.By summarizing the development and exploration of these frontier applications,it was demonstrated that natural language processing's relevant technologies and methods could help the railway industry to implement the transformation of intelligent railway.With the continuous development and breakthroughs in the natural language processing field,it could bring more significant changes to the railway intellectualization process.
作者
薛蕊
马小宁
李平
杨连报
XUE Rui;MA Xiaoning;LI Ping;YANG Lianbao(Institute of Computing Technologies,China Academy of Railway Sciences Corporation Limited,Beijing 100081,China)
出处
《铁路计算机应用》
2018年第10期40-43,48,共5页
Railway Computer Application
基金
中国铁道科学研究院重大课题(2017YJ005)
关键词
自然语言处理
智能铁路
自然语言理解
关键技术
nature language processing
intelligent railway
nature language understanding
key technology
