Hyponymy Acquisition from Chinese Tezt by SVM

摘要：

Hyponymy as one of semantic relation taxonomies provides a fundamental knowledge for natural language processing applications. In this paper, we propose a method for automatically learning hyponymy terms by machine learning technique from text for Chinese. Our method relies on hand-crafted hyponymy patterns, and uses the syntactic features to build a multiple classifier to identify novel hyponymy pairs (hyponym /hypernym or hypernym /hyponym) in a sentence by SVM. Experimental results show that the method is effective in acquiring hyponymy from Chinese free text.

关键词： Hyponymym hypernym/hyponym SVM

作者: Fang TIAN Fuji REN

作者单位: Faculty of Engineering, The University of Tokushima Tokushima, Japan Faculty of Engineering, The University of Tokushima Tokushima, Japan School of Information Engineeri

会议类型: 国际会议

会议名称: International Conference on Natural Language Processing and Knowledge Engineering(IEEE自然语言处理与知识工程国际会议 IEEE NLP-KE 2009)

会议地点: 大连

会议语种:英文

页码: 1-6

在线出版日期: 2009-09-24（万方平台首次上网日期，不代表论文的发表时间）