MEASUREMENT OF WORD RELEVANT DEGREE BASED ON CO-OCCURRENCE INFORMATION
The paper presents a new method based on co-occurrence information to estimate word relevant degree. It adopts the special document structure of scientific papers and the position information of words in order to establish the global co-occurrence relationship between words. At the same time, punctuation information is used to establish the local co-occurrence relationship of words. Then we improve the log frequency and global entropy weight method to calculate the relevant degree of words. The experiment results show that our method is effective in measurement of word relevant degree.
co-occurrence words co-occurrence information word relevance degree the log frequency and global entropy weight method
Dongna Shi Wei Li Cong Wang
Information Engineering college,Beijing University of Posts and Telecommunications,Beijing,China
国际会议
2008年拟人系统国际会议(2008 International Conference on Humanized Systems )(ICHS’08)
北京
英文
2008-10-18(万方平台首次上网日期,不代表论文的发表时间)