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