CLC number: TP391.1
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 0000-00-00
Cited: 2
Clicked: 5355
LIU Chuan-han, WANG Yong-cheng, ZHENG Fei, LIU De-rong. Using LSA and text segmentation to improve automatic Chinese dialogue text summarization[J]. Journal of Zhejiang University Science A, 2007, 8(1): 79-87.
@article{title="Using LSA and text segmentation to improve automatic Chinese dialogue text summarization",
author="LIU Chuan-han, WANG Yong-cheng, ZHENG Fei, LIU De-rong",
journal="Journal of Zhejiang University Science A",
volume="8",
number="1",
pages="79-87",
year="2007",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2007.A0079"
}
%0 Journal Article
%T Using LSA and text segmentation to improve automatic Chinese dialogue text summarization
%A LIU Chuan-han
%A WANG Yong-cheng
%A ZHENG Fei
%A LIU De-rong
%J Journal of Zhejiang University SCIENCE A
%V 8
%N 1
%P 79-87
%@ 1673-565X
%D 2007
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2007.A0079
TY - JOUR
T1 - Using LSA and text segmentation to improve automatic Chinese dialogue text summarization
A1 - LIU Chuan-han
A1 - WANG Yong-cheng
A1 - ZHENG Fei
A1 - LIU De-rong
J0 - Journal of Zhejiang University Science A
VL - 8
IS - 1
SP - 79
EP - 87
%@ 1673-565X
Y1 - 2007
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.2007.A0079
Abstract: Automatic Chinese text summarization for dialogue style is a relatively new research area. In this paper, latent semantic analysis (LSA) is first used to extract semantic knowledge from a given document, all question paragraphs are identified, an automatic text segmentation approach analogous to TextTiling is exploited to improve the precision of correlating question paragraphs and answer paragraphs, and finally some “important” sentences are extracted from the generic content and the question-answer pairs to generate a complete summary. Experimental results showed that our approach is highly efficient and improves significantly the coherence of the summary while not compromising informativeness.
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