DocumentCode
2256136
Title
Chinese question classification based on mining association rules
Author
Sun, Yong-le
Author_Institution
Sch. of Comput. & Commun. Eng., Weifang Univ., Weifang, China
Volume
1
fYear
2010
fDate
11-14 July 2010
Firstpage
413
Lastpage
416
Abstract
In this paper, a method of Chinese question classification based on the mining association rules is proposed. Words and Bi-gram are extracted from question as classific features. The method can mine the association rules between the type of the question and its classific features, to construct an association rules - based database. At last the type of the question is marked by choosing the type which the most association rules define. Experimental results show that the proposed method is feasible and can achieve good performance.
Keywords
data mining; information retrieval; natural language processing; Chinese question classification; association rules mining; natural language processing; Association rules; Classification algorithms; Databases; Feature extraction; Machine learning; Taxonomy; Training; Association rules; Nature Language Processing; Question classification;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location
Qingdao
Print_ISBN
978-1-4244-6526-2
Type
conf
DOI
10.1109/ICMLC.2010.5581026
Filename
5581026
Link To Document