Title :
Vague events-based Chinese Web news classification
Author :
Hu, Wei ; Zhang, Dong-Mo ; Sheng, Wan-Ye
Author_Institution :
Dept. of Comput. Sci., Shanghai Jiao Tong Univ., China
Abstract :
A vague events-based Chinese Web news classification approach is presented. After analyzing some related sentences, the notion of an "event" is modified and extended to be "vague events". Algorithm of extracting vague events from Chinese news articles is also illustrated. Contain relation on vague event set is an equivalence relation. The Chinese Web news collection is partitioned into equivalence classes according to this relation. The preliminary experimental results show that the proposed approach is promising.
Keywords :
Web sites; classification; equivalence classes; knowledge acquisition; Chinese Web news classification; Chinese news articles; equivalence classes; equivalence relation; knowledge acquisition; vague event set extraction; Broadcasting; Computer science; Electronic mail; Event detection; IEEE online publications; Partitioning algorithms; Pattern matching; Radio access networks; Speech recognition; Unsupervised learning;
Conference_Titel :
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN :
0-7803-8403-2
DOI :
10.1109/ICMLC.2004.1382019
