摘要
政府治理的效果评估是一个难题。没有很好的评估方法和评估体系,政府治理的效果就不能得到很好的保障。提出从自然语言问答的角度理解网民在政府治理话题中的意图,并通过构建意图知识图谱,关联语义等价的问题和意图。不同意图又通过实体的相互关联,支持意图的关联和对比。给出了意图知识图谱的定义、构建框架和政府治理场景的使用范例,展示了意图知识图谱是解决政府治理的效果评估问题的一种有效方法。在政府治理的场景中,利用意图知识图谱可以分析对比同一治理话题下不同治理主体之间的意图场,从而深入剖析特定治理主体在特定治理话题下的效果,并发现治理中存在的问题。
It is very difficult to evaluate the effects of government governance.Without a good evaluation method and evaluation system,the effects of government governance cannot be guaranteed.Understanding the intention of web users in the topic of government governance from the perspective of natural language question-and-answering was proposed.By constructing a knowledge graph of intentions,equivalent questions and intentions were associated.The definition,construction framework and usage examples in government governance were illustrated,showing that knowledge graph of intentions is an effective way to evaluate the effects of government governance.In the context of government governance,by using the knowledge graphs of intentions,the intention fields between different governance subjects under the same governance topic were analyzed and compared,the effects of specific governance subjects on specific governance topics were analyzed,and the issues remained in government governance were found.
作者
陈成
陈跃国
刘宸
吕晓彤
杜小勇
CHEN Cheng;CHEN Yueguo;LIU Chen;LYU Xiaotong;DU Xiaoyong(Key Laboratory of Data Engineering and Knowledge Engineering,Renmin University of China,Beijing 100872,China;School of Information,Renmin University of China,Beijing 100872,China;School of Statistics,Renmin University of China,Beijing 100872,China)
出处
《大数据》
2020年第2期57-68,共12页
Big Data Research
基金
国家自然科学基金资助项目(No.U1711261)。
关键词
意图理解
知识图谱
自然语言问答
实体识别
intention understanding
knowledge graph
natural language question answering
entity recognition