摘要
针对采用从战略决策提取关键字检索虚拟新闻视频准确率不高的问题,分析了战略决策文本的特点、构成模式,给出了语义分析过程中构建字典库的原则、自动分词的方法、成分分析的方法和语义树构建的方法,以及与虚拟新闻视频匹配的方法,并进行了实验。结果表明,借助语义树的方法对战略决策文本进行语义分析后能够提高虚拟新闻视频检索的准确率。
Aiming at the low precision rate of video retrieval for virtual television news caused by extracting
出处
《计算机科学》
CSCD
北大核心
2011年第2期229-233,共5页
Computer Science
基金
863项目(2006AA01Z337)
973项目(2006CB303106)资助
关键词
战略决策文本
虚拟新闻
语义分析
战略对抗演习
from strategic decision text
the features and construction modes of strategic decision text were analyzed.The principle of dictionary construction
automatic Chinese words separation
method of function analysis
semantic tree construction and matching approaches between virtual television news video were discussed in detail.Experiments were made on this research.The results show that the precision rate of virtual television news video retrieval can be increased by the employment of semantic tree method.Key words：Strategic decision text
Virtual television news
Semantic analysis
Strategic seminar gaming
