摘要
为了实现医保信息方便、及时、高效的传递,依靠语义角色标注对问题进行了浅层语义分析。根据预先定义的问题焦点结构与焦点抽取规则,获取问题焦点。实验结果证明该方法提取了问题的焦点,实现了问题分类。将该方法应用到医保卡短信服务平台,提高了西安市人社局的办公效率。
In order to realize convenient,timely and efficient delivery of the health information,with the support of predefined structure of question focus and extracting rules,a semantic representation is constructed to fetch from the results of shallow semantic analysis,including dependency analysis and semantic role label.Experiment shows that this method extracts the focus of the question and realizes the question classification.The application of this method to the healthcare card SMS platform can improve the office efficiency of Xi'an Municipal Human Resources and Social Security Bureau.
作者
刘淑婷
LIU Shuting(College of Engineering Technology,Xi'an Fanyi University,Xi'an 710105)
出处
《微型电脑应用》
2018年第11期11-14,共4页
Microcomputer Applications
基金
陕西省教育厅科研计划项目(15JK2043)
关键词
自动回复系统
问题分析
问题分类
问题焦点
Automatic response system
Question analysis
Question classification
Question focus