Modeling document summarization as multi-objective optimization

Lei Huang; Yanxiang He; Furu Wei; Wenjie Li

doi:10.1109/IITSI.2010.80

Modeling document summarization as multi-objective optimization

Lei Huang, Yanxiang He, Furu Wei, Wenjie Li

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

42 Citations (Scopus)

Abstract

In this paper, we consider document summarization as a multi-objective optimization problem involving four objective functions, namely information coverage, significance, redundancy and text coherence. These functions measure the possible summaries based on the identified core terms and main topics (i.e. a cluster of semantically or statistically related core terms). We choose the DUC 2005 and 2006 query-oriented summarization tasks to exam the proposed model. The encouraging results indicate that the multi-objective optimization based framework for document summarization is truly a promising research direction.

Original language	English
Title of host publication	3rd International Symposium on Intelligent Information Technology and Security Informatics, IITSI 2010
Pages	382-386
Number of pages	5
DOIs	https://doi.org/10.1109/IITSI.2010.80
Publication status	Published - 31 May 2010
Event	2010 International Symposium on Intelligent Information Technology and Security Informatics, IITSI 2010 - Jinggangshan, China Duration: 2 Apr 2010 → 4 Apr 2010

Conference

Conference	2010 International Symposium on Intelligent Information Technology and Security Informatics, IITSI 2010
Country/Territory	China
City	Jinggangshan
Period	2/04/10 → 4/04/10

Keywords

Document summarization
Multi-objective optimization
Query-sensitive term weighting and clustering

ASJC Scopus subject areas

Artificial Intelligence
Information Systems

More information

10.1109/IITSI.2010.80

Cite this

@inproceedings{0e5f2bd9593e4128b009f843524e1ccb,

title = "Modeling document summarization as multi-objective optimization",

abstract = "In this paper, we consider document summarization as a multi-objective optimization problem involving four objective functions, namely information coverage, significance, redundancy and text coherence. These functions measure the possible summaries based on the identified core terms and main topics (i.e. a cluster of semantically or statistically related core terms). We choose the DUC 2005 and 2006 query-oriented summarization tasks to exam the proposed model. The encouraging results indicate that the multi-objective optimization based framework for document summarization is truly a promising research direction.",

keywords = "Document summarization, Multi-objective optimization, Query-sensitive term weighting and clustering",

author = "Lei Huang and Yanxiang He and Furu Wei and Wenjie Li",

year = "2010",

month = may,

day = "31",

doi = "10.1109/IITSI.2010.80",

language = "English",

isbn = "9780769540207",

pages = "382--386",

booktitle = "3rd International Symposium on Intelligent Information Technology and Security Informatics, IITSI 2010",

note = "2010 International Symposium on Intelligent Information Technology and Security Informatics, IITSI 2010 ; Conference date: 02-04-2010 Through 04-04-2010",

}

Huang, L, He, Y, Wei, F & Li, W 2010, Modeling document summarization as multi-objective optimization. in 3rd International Symposium on Intelligent Information Technology and Security Informatics, IITSI 2010., 5453598, pp. 382-386, 2010 International Symposium on Intelligent Information Technology and Security Informatics, IITSI 2010, Jinggangshan, China, 2/04/10. https://doi.org/10.1109/IITSI.2010.80

Modeling document summarization as multi-objective optimization. / Huang, Lei; He, Yanxiang; Wei, Furu et al.
3rd International Symposium on Intelligent Information Technology and Security Informatics, IITSI 2010. 2010. p. 382-386 5453598.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

T1 - Modeling document summarization as multi-objective optimization

AU - Huang, Lei

AU - He, Yanxiang

AU - Wei, Furu

AU - Li, Wenjie

PY - 2010/5/31

Y1 - 2010/5/31

N2 - In this paper, we consider document summarization as a multi-objective optimization problem involving four objective functions, namely information coverage, significance, redundancy and text coherence. These functions measure the possible summaries based on the identified core terms and main topics (i.e. a cluster of semantically or statistically related core terms). We choose the DUC 2005 and 2006 query-oriented summarization tasks to exam the proposed model. The encouraging results indicate that the multi-objective optimization based framework for document summarization is truly a promising research direction.

AB - In this paper, we consider document summarization as a multi-objective optimization problem involving four objective functions, namely information coverage, significance, redundancy and text coherence. These functions measure the possible summaries based on the identified core terms and main topics (i.e. a cluster of semantically or statistically related core terms). We choose the DUC 2005 and 2006 query-oriented summarization tasks to exam the proposed model. The encouraging results indicate that the multi-objective optimization based framework for document summarization is truly a promising research direction.

KW - Document summarization

KW - Multi-objective optimization

KW - Query-sensitive term weighting and clustering

UR - http://www.scopus.com/inward/record.url?scp=77952704255&partnerID=8YFLogxK

U2 - 10.1109/IITSI.2010.80

DO - 10.1109/IITSI.2010.80

M3 - Conference article published in proceeding or book

SN - 9780769540207

SP - 382

EP - 386

BT - 3rd International Symposium on Intelligent Information Technology and Security Informatics, IITSI 2010

T2 - 2010 International Symposium on Intelligent Information Technology and Security Informatics, IITSI 2010

Y2 - 2 April 2010 through 4 April 2010

ER -

Modeling document summarization as multi-objective optimization

Abstract

Conference

Keywords

ASJC Scopus subject areas

More information

Other files and links

Fingerprint

Cite this