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COVERAGE, DIVERSITY, AND COHERENCE OPTIMIZATION FOR MULTI-DOCUMENT SUMMARIZATION

Jurnal Ilmu Komputer dan Informasi (JIKI) · Vol. 8 No. 1 (2015) · pp. 1–10

DOI
10.21609/jiki.v8i1.278
ISSN
2502-9274, 2088-7051
Published
2015-03-26
Publisher
Faculty of Computer Science - Universitas Indonesia
Language
eng

Abstract

A great summarization on multi-document with similar topics can help users to get useful in¬for¬ma¬tion. A good summary must have an extensive coverage, minimum redundancy (high diversity), and smooth connection among sentences (high coherence). Therefore, multi-document summarization that con¬siders the coverage, diversity, and coherence of summary is needed. In this paper we pro¬pose a novel method on multi-document summarization that optimizes the coverage, diversity, and co¬her¬ence among the summary's sentences simultaneously. It integrates self-adaptive differential evo¬lu¬tion (SaDE) al¬gorithm to solve the optimization problem. Sentences ordering algorithm based on top¬ic¬al closeness ap¬proach is performed in SaDE iterations to improve coherences among the summary's sen¬tences. Ex¬pe¬ri¬ments have been performed on Text Analysis Conference (TAC) 2008 data sets. The ex¬perimental re¬sults showed that the proposed method generates summaries with average coherence and ROUGE scores 29-41.2 times and 46.97-64.71% better than any other method that only consider coverage and di¬versity, re-spect¬ive¬ly.

Keywords

Collaboration network of the authors

40 authors · 100 co-authorship links · 18 across different organisations · showing the 40 most connected

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  • Institut Teknologi Sepuluh Nopember
  • Lampung University
  • University of Brawijaya
  • Universitas Islam Negeri Raden Intan Lampung
  • Universitas Halu Oleo
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Chastine FatichahInstitut Teknologi Sepuluh Nopember9
Dini Adni NavastaraInstitut Teknologi Sepuluh Nopember6
Rarasmaya IndraswariInstitut Teknologi Sepuluh Nopember4
Agus Budi RaharjoInstitut Teknologi Sepuluh Nopember4
Anny YuniartiInstitut Teknologi Sepuluh Nopember4
Apriantoni ApriantoniInstitut Teknologi Sepuluh Nopember3
Rizka Wakhidatus SholikahInstitut Teknologi Sepuluh Nopember3
Wijayanti Nurul KhotimahInstitut Teknologi Sepuluh Nopember3
Wawan GunawanUniversitas Islam Negeri Raden Intan Lampung2
Munjiah Nur SaadahInstitut Teknologi Sepuluh Nopember2
Rigga Widar AtmagiInstitut Teknologi Sepuluh Nopember2
Dyah S. RahayuInstitut Teknologi Sepuluh Nopember2
Darlis HerumurtiInstitut Teknologi Sepuluh Nopember2
Safri AdamInstitut Teknologi Sepuluh Nopember2
Yudhi PurwanantoInstitut Teknologi Sepuluh Nopember2
Fahrur RoziInstitut Teknologi Sepuluh Nopember2
Narandha Arya RanggiantoInstitut Teknologi Sepuluh Nopember2
Hilya TsaniyaInstitut Teknologi Sepuluh Nopember2
Nanik SuciatiInstitut Teknologi Sepuluh Nopember2
Abid Famasya AbdillahInstitut Teknologi Sepuluh Nopember2
Safitri JuanitaInstitut Teknologi Sepuluh Nopember2
Christian Sri Kusuma AdityaInstitut Teknologi Sepuluh Nopember2
Cornelius Bagus Purnama PutraInstitut Teknologi Sepuluh Nopember2
⁠Undang RosidinLampung University1
Nina KadaritnaLampung University1
Naser JawasInstitut Teknologi Sepuluh Nopember1
Randy Cahya WihandikaUniversity of Brawijaya1
Go Frendi GunawanInstitut Teknologi Sepuluh Nopember1
Sonny Christiano GosariaInstitut Teknologi Sepuluh Nopember1
Yuita Arum SariUniversity of Brawijaya1
Evy Kamilah RatnasariInstitut Teknologi Sepuluh Nopember1
Siti MutrofinInstitut Teknologi Sepuluh Nopember1
Mutmainnah MuchtarInstitut Teknologi Sepuluh Nopember1
Jayanti Yusmah SariUniversitas Halu Oleo1
Mohammad ZarkasiInstitut Teknologi Sepuluh Nopember1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://jiki.cs.ui.ac.id/index.php/jiki/oai, first harvested 26 Oct 2026, last seen 1 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">COVERAGE, DIVERSITY, AND COHERENCE OPTIMIZATION FOR MULTI-DOCUMENT SUMMARIZATION</dc:title>
	<dc:creator>Umam, Khoirul</dc:creator>
	<dc:creator>Putro, Fidi Wincoko</dc:creator>
	<dc:creator>Pratamasunu, Gulpi Qorik Oktagalu</dc:creator>
	<dc:creator>Arifin, Agus Zainal</dc:creator>
	<dc:creator>Purwitasari, Diana</dc:creator>
	<dc:subject xml:lang="en-US">multi-document summarization</dc:subject>
	<dc:subject xml:lang="en-US">optimization</dc:subject>
	<dc:subject xml:lang="en-US">self-adaptive differential evolution</dc:subject>
	<dc:subject xml:lang="en-US">sentences ordering</dc:subject>
	<dc:subject xml:lang="en-US">topical closeness</dc:subject>
	<dc:description xml:lang="en-US">A great summarization on multi-document with similar topics can help users to get useful in&amp;not;for&amp;not;ma&amp;not;tion. A good summary must have an extensive coverage, minimum redundancy (high diversity), and smooth connection among sentences (high coherence). Therefore, multi-document summarization that con&amp;not;siders the coverage, diversity, and coherence of summary is needed. In this paper we pro&amp;not;pose a novel method on multi-document summarization that optimizes the coverage, diversity, and co&amp;not;her&amp;not;ence among the summary's sentences simultaneously. It integrates self-adaptive differential evo&amp;not;lu&amp;not;tion (SaDE) al&amp;not;gorithm to solve the optimization problem. Sentences ordering algorithm based on top&amp;not;ic&amp;not;al closeness ap&amp;not;proach is performed in SaDE iterations to improve coherences among the summary's sen&amp;not;tences. Ex&amp;not;pe&amp;not;ri&amp;not;ments have been performed on Text Analysis Conference (TAC) 2008 data sets. The ex&amp;not;perimental re&amp;not;sults showed that the proposed method generates summaries with average coherence and ROUGE scores 29-41.2 times and 46.97-64.71% better than any other method that only consider coverage and di&amp;not;versity, re-spect&amp;not;ive&amp;not;ly.</dc:description>
	<dc:publisher xml:lang="en-US">Faculty of Computer Science  - Universitas Indonesia</dc:publisher>
	<dc:date>2015-03-26</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://jiki.cs.ui.ac.id/index.php/jiki/article/view/278</dc:identifier>
	<dc:identifier>10.21609/jiki.v8i1.278</dc:identifier>
	<dc:source xml:lang="en-US">Jurnal Ilmu Komputer dan Informasi; Vol. 8 No. 1 (2015): Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Information); 1-10</dc:source>
	<dc:source>2502-9274</dc:source>
	<dc:source>2088-7051</dc:source>
	<dc:source>10.21609/jiki.v8i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://jiki.cs.ui.ac.id/index.php/jiki/article/view/278/323</dc:relation>
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