摘要
针对句法模式泛化这个具体问题,比较了几种常见的处理方法,提出自己的处理方案,并将其用于关系学习中.实验结果表明,所提出的泛化方法可以有效地解决模式泛化问题,抽取出多种语义关系实例.
In the area of Semantic Web, relation learning is very important and its main task is to extract particular semantic relation samples from various data sources. Methods based on syntactic patterns are popular because they take into account sequence information between Words and they are suitable for various relation extractions. Aimed at syntactic pattern generalization, this paper summarizes several popular approaches, and proposes a new method. Experimental results indicate that this method can effectively generalize syntactic patterns and extract kinds of semantic relation samples.
出处
《重庆工学院学报(自然科学版)》
2008年第10期112-116,共5页
Journal of Chongqing Institute of Technology
基金
国家自然科学基金资助项目(60773107)
国家科技支撑计划资助项目(2006BAK10B02)
关键词
句法模式
关系学习
模式泛化
syntactic pattern
relation learning
pattern generalization