DocumentCode
2041106
Title
Study on semantic paragraph partition in automatic abstracting system
Author
Min, Wan ; Zhensheng, Luo ; Yuqing, Guo
Author_Institution
Lab. of Computational Linguistics, Tsinghua Univ., Beijing, China
Volume
2
fYear
2001
fDate
2001
Firstpage
892
Abstract
Semantic paragraph partition is an important problem in text structure analysis in an automatic abstracting system. For an article containing distinct headings, the paper presents heading models in Chinese text to divide an article into semantic paragraphs based on the recognition of headings. For an article not containing headings, the paper establishes a vector space model for the whole article based on paragraphs, and then semantically relative paragraphs are clustered as semantic paragraphs
Keywords
abstracting; computational linguistics; natural languages; pattern clustering; text analysis; Chinese text; automatic abstracting system; heading recognition; semantic paragraph partition; semantically relative paragraphs; text structure analysis; vector space model; Character recognition; Computational linguistics; Data mining; Functional analysis; Space technology; Text recognition; Wide area networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics, 2001 IEEE International Conference on
Conference_Location
Tucson, AZ
ISSN
1062-922X
Print_ISBN
0-7803-7087-2
Type
conf
DOI
10.1109/ICSMC.2001.973030
Filename
973030
Link To Document