Discovering Chinese Concept-In-Corpus

Author

Chen, Jian-chao ; Zheng, Qi-Lun ; Li, Zhao

Author_Institution

Sch. of Comput. Sci. & Eng., South China Univ. of Technol., Guangzhou

Volume

5

fYear

2008

fDate

12-15 July 2008

Firstpage

2534

Lastpage

2539

Abstract

Concept is the basic of knowledge. A concept consists of a connotation and an extension. The paper comes up with a concept of concept-in-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-in-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.

Keywords

natural language processing; Chinese concept-in-corpus; FCWFT; concept-word filtering; discovering algorithm; feature-tree; formal concept; large scale corpus; natural language processing; Computer science; Cybernetics; Data mining; Filtering algorithms; Intelligent systems; Knowledge engineering; Large-scale systems; Machine learning; Natural language processing; Testing; Concept; Concept-IC; Concept-word; Feature-tree; Knowledge; Natural Language Processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2008 International Conference on

Conference_Location

Kunming

Print_ISBN

978-1-4244-2095-7

Electronic_ISBN

978-1-4244-2096-4

Type

conf

DOI

10.1109/ICMLC.2008.4620835

Filename

4620835