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

  • Khoirul Umam
  • Fidi Wincoko Putro
  • Gulpi Qorik Oktagalu Pratamasunu
  • Agus Zainal Arifin
  • Diana Purwitasari
DOI: https://doi.org/10.21609/jiki.v8i1.278
Keywords: multi-document summarization, optimization, self-adaptive differential evolution, sentences ordering, topical closeness

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.
Published
2015-03-26
How to Cite
Umam, K., Putro, F. W., Pratamasunu, G. Q. O., Arifin, A. Z., & Purwitasari, D. (2015). COVERAGE, DIVERSITY, AND COHERENCE OPTIMIZATION FOR MULTI-DOCUMENT SUMMARIZATION. Jurnal Ilmu Komputer Dan Informasi, 8(1), 1-10. https://doi.org/10.21609/jiki.v8i1.278
Issue
Vol. 8 No. 1 (2015): Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Information)
Section
Articles

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