Automatic text summarization using two-step sentence extraction

被引：0

作者：

Jung, WC

Ko, YJ

Seo, JY

机构：

[1] Sogang Univ, Dept Comp Sci, Seoul 121742, South Korea

[2] Sogang Univ, Program Integrated Biotechnol, Seoul 121742, South Korea

[3] Dong A Univ, Div Elect & Comp Engn, Pusan 604714, South Korea

来源：

INFORMATION RETRIEVAL TECHNOLOGY | 2005年 / 3411卷

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Automatic text summarization sets the goal at reducing the size of a document while preserving its content. Our summarization system is based on Two-step Sentence Extraction. As it combines statistical methods and reduces noise data through two steps efficiently, it can achieve high performance. In our experiments for 30% compression and 10% compression, our method is compared with Title, Location, Aggregation Similarity, and DOCUSUM methods. As a result, our method showed higher performance than other methods.

引用

下载

页码：71 / 81

页数：11

共 50 条

[31] Automatic Text Summarization Using Fuzzy Inference
Jafari, Mehdi
Shahabi, Amir Shahab
Wang, Jing
Qin, Yongrui
Tao, Xiaohui
Gheisari, Mehdi
2016 22ND INTERNATIONAL CONFERENCE ON AUTOMATION AND COMPUTING (ICAC), 2016, : 256 - 260
[32] An Approach to Automatic Text Summarization using WordNet
Pal, Alok Ranjan
Saha, Diganta
SOUVENIR OF THE 2014 IEEE INTERNATIONAL ADVANCE COMPUTING CONFERENCE (IACC), 2014, : 1169 - 1173
[33] Extraction Based Automatic Text Summarization System with HMM Tagger
Manne, Suneetha
Mohd, Zaheer Parvez Shaik
Fatima, S. Sameen
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INFORMATION SYSTEMS DESIGN AND INTELLIGENT APPLICATIONS 2012 (INDIA 2012), 2012, 132 : 421 - +
[34] Automatic Text Summarization
Fattah, Mohamed Abdel
Ren, Fuji
PROCEEDINGS OF WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY, VOL 27, 2008, 27 : 192 - +
[35] SENTENCE SELECTION METHODS FOR TEXT SUMMARIZATION
Guran, Aysun
Arslan, Sumeyra Nur
Kilic, Esma
Diri, Banu
2014 22ND SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 2014, : 192 - 195
[36] Automatic Text Summarization using Word Embeddings
Easwar, Arjun
Uthra, Annie
PROCEEDINGS OF THE 2021 FIFTH INTERNATIONAL CONFERENCE ON I-SMAC (IOT IN SOCIAL, MOBILE, ANALYTICS AND CLOUD) (I-SMAC 2021), 2021, : 1065 - 1079
[37] Sentence Features Fusion for Text Summarization Using Fuzzy Logic
Suanmali, Ladda
Binwahlan, Mohammed Salem
Salim, Naomie
HIS 2009: 2009 NINTH INTERNATIONAL CONFERENCE ON HYBRID INTELLIGENT SYSTEMS, VOL 1, PROCEEDINGS, 2009, : 142 - +
[38] An adaptation of a F-measure for automatic text summarization by extraction
Boudia, Mohamed Amine
Hamou, Reda Mohamed
Amine, Abdelmalek
Lokbani, Ahmed Chaouki
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2020, 23 (03): : 2389 - 2398
[39] An adaptation of a F-measure for automatic text summarization by extraction
Mohamed Amine Boudia
Reda Mohamed Hamou
Abdelmalek Amine
Ahmed Chaouki Lokbani
Cluster Computing, 2020, 23 : 2389 - 2398
[40] Key sentence based text summarization using Keywords and WordNet
Dang, Chenghua
Luo, Xinjun
WSEAS Transactions on Computers, 2007, 6 (05): : 829 - 834

← 1 2 3 4 5 →