Analysis of Sentence Ordering Based on Support Vector Machine

被引：1

作者：

Peng, Gongfu ^{[1
]}

He, Yanxiang ^{[1
]}

Tian, Ye ^{[1
]}

Tian, Yingsheng ^{[1
]}

Wen, Weidong ^{[1
]}

机构：

[1] Wuhan Univ, Comp Sch, Wuhan 430079, Peoples R China

来源：

2009 PACIFIC-ASIA CONFERENCE ON KNOWLEDGE ENGINEERING AND SOFTWARE ENGINEERING, PROCEEDINGS | 2009年

关键词：

Sentence ordering; SVM;

D O I：

10.1109/KESE.2009.14

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we present a practical method of sentence ordering in multi-document summarization tasks of Chinese language. By using Support Vector Machine (SVM), we classify the sentences of a summary into several groups in rough position according to the source documents. Then we adjust the sentence sequence of each group according to the estimation of directional relativity of adjacent sentences, and find the sequence of each group. Finally, we connect the sequences of different groups to generate the final order of the summary. Experimental results indicate that this method works better than most existing methods of sentence ordering.

引用

页码：25 / 27

页数：3

共 50 条

[21] Self-Adjusting Fuzzy Support Vector Machine Based on Analysis of Potential Support Vector Sample Point
Zhou, Huaping
Qin, Huangli
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2019, 33 (10)
[22] Landslide susceptibility assessment based on clustering analysis and support vector machine
Huang F.
Yin K.
Jiang S.
Huang J.
Cao Z.
2018, Academia Sinica (37): : 156 - 167
[23] Pump performance analysis based on least squares support vector machine
Wan, Yi
Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 2009, 25 (08): : 114 - 118
[24] Spectrum Data Feature Analysis Based on Support Vector Machine Method
Wu, Jiayi
Cui, Shuo
Su, Donglin
2017 IEEE SIXTH ASIA-PACIFIC CONFERENCE ON ANTENNAS AND PROPAGATION (APCAP), 2017,
[25] An objective analysis of Support Vector Machine based classification for remote sensing
Oommen, Thomas
Misra, Debasmita
Twarakavi, Navin K. C.
Prakash, Anupma
Sahoo, Bhaskar
Bandopadhyay, Sukumar
MATHEMATICAL GEOSCIENCES, 2008, 40 (04) : 409 - 424
[26] A support vector machine based drought index for regional drought analysis
Alshahrani, Mohammed A.
Laiq, Muhammad
Noor-ul-Amin, Muhammad
Yasmeen, Uzma
Nabi, Muhammad
SCIENTIFIC REPORTS, 2024, 14 (01):
[27] Bearings Fault Diagnosis based on Wavelet Analysis and Support Vector Machine
Li, Xinli
Yang, Xiao
Yao, Wanye
Wang, Jianming
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON CHEMICAL, MATERIAL AND FOOD ENGINEERING, 2015, 22 : 863 - 866
[28] PASSIVE SYSTEM RELIABILITY ANALYSIS BASED ON IMPROVED SUPPORT VECTOR MACHINE
Ding, Hao
Cai, Qi
Zhang, Yongfa
Jiang, Lizhi
PROCEEDINGS OF THE 25TH INTERNATIONAL CONFERENCE ON NUCLEAR ENGINEERING, 2017, VOL 4, 2017,
[29] Dynamic reliability analysis of flexible mechanism based on support vector machine
Han, Yanbin
Bai, Guangchen
Li, Xiaoying
Bai, Bin
Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, 2014, 50 (11): : 86 - 92
[30] Support vector machine classification for object-based image analysis
Laboratory of Remote Sensing, Department of Surveying, School of Rural and Surveying Engineering, National Technical University of Athens, Greece
Lect. Notes Geoinformation Cartogr., 2008, 9783540770572 (663-677):

← 1 2 3 4 5 →