Automatic Multi-Document Summarization for Indonesian Documents Using Hybrid Abstractive-Extractive Summarization Technique

被引：0

作者：

Yapinus, Glorian ^{[1
]}

Erwin, Alva ^{[1
]}

Galinium, Maulahikmah ^{[1
]}

Muliady, Wahyu ^{[2
]}

机构：

[1] Swiss German Univ, Fac Engn & Informat Technol, BSD, Tangerang, Indonesia

[2] Akon Teknol, BSD, Tangerang, Indonesia

来源：

2014 6TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND ELECTRICAL ENGINEERING (ICITEE) | 2014年

关键词：

Multi-Document Summarization; Abstractive Technique; Extractive Technique; Indonesian Documents;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This paper discusses the development of multi-document summarization for Indonesian documents by using hybrid abstractive-extractive summarization approach. Multi-document summarization is a technology that able to summarize multiple documents and present them in one summary. The method used in this research, hybrid abstractive-extractive summarization technique, is a summarization technique that is the combination of WordNet based text summarization (abstractive technique) and title word based text summarization (extractive technique). After an experiment with LSA as the comparison method, this research method successfully generated a well-compressed and readable summary with a fast processing time.

引用

页码：39 / 43

页数：5

共 50 条

[1] Abstractive Multi-Document Summarization
Ranjitha, N. S.
Kallimani, Jagadish S.
2017 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATIONS AND INFORMATICS (ICACCI), 2017, : 1690 - 1693
[2] Disentangling Specificity for Abstractive Multi-document Summarization
Ma, Congbo (congbo.ma@mq.edu.au), 1600, Institute of Electrical and Electronics Engineers Inc.
[3] A Hybrid Solution To Abstractive Multi-Document Summarization Using Supervised and Unsupervised Learning
Bhagchandani, Gaurav
Bodra, Deep
Gangan, Abhishek
Mulla, Nikahat
PROCEEDINGS OF THE 2019 INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND CONTROL SYSTEMS (ICCS), 2019, : 566 - 570
[4] Multi-document extractive summarization using semantic graph
del Camino Valle, Oleyda
Simon-Cuevas, Alfredo
Valladares-Valdes, Eduardo
Olivas, Jose A.
Romero, Francisco P.
PROCESAMIENTO DEL LENGUAJE NATURAL, 2019, (63): : 103 - 110
[5] Extractive multi-document summarization using multilayer networks
Tohalino, Jorge V.
Amancio, Diego R.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2018, 503 : 526 - 539
[6] Abstractive Multi-document Summarization Using Deep Learning Approaches
Poornima, Murkute
Pulipati, Venkateswara Rao
Kumar, T. Sunil
PROCEEDINGS OF SECOND INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTER ENGINEERING AND COMMUNICATION SYSTEMS, ICACECS 2021, 2022, : 57 - 68
[7] Abstractive Multi-Document Text Summarization Using a Genetic Algorithm
Neri Mendoza, Veronica
Ledeneva, Yulia
Arnulfo Garcia-Hernandez, Rene
PATTERN RECOGNITION, MCPR 2019, 2019, 11524 : 422 - 432
[8] A hybrid model for sentence ordering in extractive multi-document summarization
Liu, Dexi
Zhang, Zengchang
He, Yanxiang
Ji, Donghong
INFORMATION RETRIEVAL TECHNOLOGY, PROCEEDINGS, 2006, 4182 : 588 - 592
[9] Abstractive Multi-Document Summarization via Joint Learning with Single-Document Summarization
Jin, Hanqi
Wan, Xiaojun
FINDINGS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, EMNLP 2020, 2020, : 2545 - 2554
[10] Compressed Heterogeneous Graph for Abstractive Multi-Document Summarization
Li, Miao
Qi, Jianzhong
Lau, Jey Han
THIRTY-SEVENTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 37 NO 11, 2023, : 13085 - 13093

← 1 2 3 4 5 →