DocumentCode :
3205544
Title :
An approach to sentence-selection-based text summarization
Author :
Chen, Fang ; Han, Kesong ; Chen, Guilin
Author_Institution :
Motorola Australia Res. Centre, Sydney, NSW, Australia
Volume :
1
fYear :
2002
fDate :
28-31 Oct. 2002
Firstpage :
489
Abstract :
We introduced a newly developed text summarization system. It supports both Chinese and English, while this paper focuses on Chinese processing. We apply 6 word level features and 3 sentence level features to weigh each word and sentence. We also describe two new techniques, one is for processing the topic sensitive word feature and another is for processing the sentence length feature. Primary subjective evaluation shows that these approaches are effective and efficient, and performance of the system is promising.
Keywords :
feature extraction; text analysis; word processing; Chinese processing; performance; sentence length feature; sentence level features; sentence selection; text summarization; topic sensitive word feature; word level features; Australia; Character generation; Costing; Costs; Kernel; Supervised learning; Tagging;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
TENCON '02. Proceedings. 2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering
Print_ISBN :
0-7803-7490-8
Type :
conf
DOI :
10.1109/TENCON.2002.1181320
Filename :
1181320
Link To Document :
بازگشت