DocumentCode :
3101563
Title :
Research on Chinese Text Summarization Algorithm Based on Statistics and Rules
Author :
Zhou, Faguo ; Zhang, Fan ; Yang, Bingru
Author_Institution :
Sch. of Mech. Electron. & Inf. Eng., China Univ. of Min. & Technol., Beijing, China
fYear :
2009
fDate :
7-9 Dec. 2009
Firstpage :
236
Lastpage :
239
Abstract :
Text summarization is a meaningful part of the research of natural language document understanding, and it is an important branch of natural language processing. In this paper, on the basis of the research status quo of the researchers and experts both home and abroad, two text summarization algorithms are proposed. And one algorithm is rule-based, and the other is based on statistics.
Keywords :
natural language processing; text analysis; Chinese text summarization algorithm; natural language document understanding; natural language processing; Abstracts; Data mining; Databases; Indexing; Information filtering; Information filters; Information retrieval; Natural language processing; Natural languages; Statistics; rules; statistics; text summarization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Asian Language Processing, 2009. IALP '09. International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-0-7695-3904-1
Type :
conf
DOI :
10.1109/IALP.2009.56
Filename :
5380740
Link To Document :
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