DISCOVERING CHINESE CONCEPT-IN-CORPUS

摘要：

Concept is the basic of knowledge. A concept consists of a connotation and an extension. The paper comes up with a concept of Concept-ln-Corpus which is a special kind of formal concept, and presents a discovering algorithm called FCWFT (Filtering Concept-word Based on Feature-tree) which automatically mine the connotation and the extension for a Chinese Concept-ln-Corpus from corpus in Chinese. Our work is the first one attempting to mine formal Concepts from free texts in the area of Natural Language Processing. We test the algorithm with a large scale corpus. The result is encouraging.

关键词： Natural Language Processing Knowledge Concept Concept-word Concept-IC Feature-tree

作者: JIAN-CHAO CHEN QI-LUN ZHENG ZHAO LI

作者单位: School of Computer Science and Engineering, South China University of Technology, Guangzhou, 510640, China

会议类型: 国际会议

会议名称: 2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

会议地点: 昆明

会议语种:英文

页码: 2534-2539

在线出版日期: 2008-07-12（万方平台首次上网日期，不代表论文的发表时间）