Research of Term Semantic Hierarchy Induction for Domain-specific Chinese Text Information Processing
Ji Peipei1,2, Yan Xiaoyan1, Cen Yonghua3,4, Wang Lingyan1,2
1. The Chengdu Branch of National Science Library, Chinese Academy of Sciences, Chengdu 610041, China;
2. Graduate University of Chinese Academy of Sciences, Beijing 100049, China;
3. School of Economics and Management, Nanjing University of Science and Technology, Nanjing 210094, China;
4. Department of Information Management, Nanjing University, Nanjing 210093, China
Term semantic relationship is a key step of Chinese text information processing.Through researches on some existing methods at home and abroad,a process of term semantic hierarchy induction is proposed, which uses multiple clustering method to get the whole hierarchy,and combine with comprehensive similarity caculation to get the label of classes.Finally,some experiments are done to verify its rationality.
季培培, 鄢小燕, 岑咏华, 王凌燕. 面向领域中文文本信息处理的术语语义层次获取研究[J]. 现代图书情报技术, 2010, 26(9): 37-41.
Ji Peipei, Yan Xiaoyan, Cen Yonghua, Wang Lingyan. Research of Term Semantic Hierarchy Induction for Domain-specific Chinese Text Information Processing. New Technology of Library and Information Service, 2010, 26(9): 37-41.
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