Automatic Eztracting and Eztending Lezical Attributes from Chinese Machine Readable Dictionary

摘要：

This paper proposes a method for automatic extracting and extending lexical attributes from a Chinese Machine Readable Dictionary (MRD). The method acquires lexical attributes such as density, reserve and ductility for the class metal from definitions in MRD, not using any instantiated objects. Compared with previous works, our method takes advantage of hyponymy semantic relation to extend classes conceptually and acquire more attributes. Although the method for acquisition of hyponyms is very simple and only a few hyponyms are acquired, experimental results show that they can help to improve the performance of attribute extraction from MRD effectively.

作者: Lei Liu Maoshang Zhong Ruzhan Lu

作者单位: Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai,China School of Information Engineering East China Jiaotong University NanChang,China

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems(2009 IEEE 智能计算与智能系统国际会议)

会议地点: 上海

会议语种:英文

页码: 797-802

在线出版日期: 2009-11-20（万方平台首次上网日期，不代表论文的发表时间）