Modeling document summarization as multi-objective optimization

Lei Huang, Yanxiang He, Furu Wei, Wenjie Li

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

27 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 languageEnglish
Title of host publication3rd International Symposium on Intelligent Information Technology and Security Informatics, IITSI 2010
Pages382-386
Number of pages5
DOIs
Publication statusPublished - 31 May 2010
Event2010 International Symposium on Intelligent Information Technology and Security Informatics, IITSI 2010 - Jinggangshan, China
Duration: 2 Apr 20104 Apr 2010

Conference

Conference2010 International Symposium on Intelligent Information Technology and Security Informatics, IITSI 2010
CountryChina
CityJinggangshan
Period2/04/104/04/10

Keywords

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

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems

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