DocumentCode
2666077
Title
Study on topic segmenting method in automatic abstracting system
Author
Wan, Min ; Luo, Zhensheng
Author_Institution
Lab. of Comput. Linguistics, Tsinghua Univ., Beijing, China
fYear
2003
fDate
26-29 Oct. 2003
Firstpage
734
Lastpage
739
Abstract
Topic segmenting is an important problem in text structure analysis in automatic abstracting system. In order to get a higher quality abstract, we establish a vector space model based on simple semantic analysis for origin article, and then design an algorithm to find the borderlines between different topics by two sliding windows. Experimental results indicate that the method is feasible and useful.
Keywords
abstracting; computational linguistics; text analysis; automatic abstracting system; semantic analysis; text structure analysis; topic segmenting; vector space model; Algorithm design and analysis; Automatic testing; Frequency; Functional analysis; Natural languages; System testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Language Processing and Knowledge Engineering, 2003. Proceedings. 2003 International Conference on
Conference_Location
Beijing, China
Print_ISBN
0-7803-7902-0
Type
conf
DOI
10.1109/NLPKE.2003.1276002
Filename
1276002
Link To Document