SENTENCE ORDERING USING CLUSTER CORRELATION AND PROBABILITY IN MULTI-DOCUMENTS SUMMARIZATION

Authors

  • I Gusti Agung Socrates Adi Guna Institut Teknologi Sepuluh Nopember Surabaya
  • Suci Nur Fauziah Institut Teknologi Sepuluh Nopember Surabaya
  • Wanvy Arifha Saputra Institut Teknologi Sepuluh Nopember Surabaya

DOI:

https://doi.org/10.21609/jiki.v10i2.418

Keywords:

Document Summarization, Cluster Ordering, Cluster Correlation, Probability,

Abstract

Most of the document summary are arranged extractive by taking important sentences from the document. Extractive based summarization often not consider the connection sentence.  A good sentence ordering should aware about rhetorical relations such as cause-effect relation, topical relevancy and chronological sequence which exist between the sentences.  Based on this problem, we propose a new method for sentence ordering in multi document summarization using cluster correlation and probability for English documents. Sentences of multi-documents are grouped based on similarity into clusters. Sentence extracted from each cluster to be a summary that will be listed based on cluster correlation and probability. User evaluation showed that the summary result of proposed method easier to understanding than the previous method. The result of ROUGE method also shows increase on sentence arrangement compared to previous method.

Author Biographies

I Gusti Agung Socrates Adi Guna, Institut Teknologi Sepuluh Nopember Surabaya

Department of Informatics

Suci Nur Fauziah, Institut Teknologi Sepuluh Nopember Surabaya

Department of Informatics

Wanvy Arifha Saputra, Institut Teknologi Sepuluh Nopember Surabaya

Department of Informatics

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Published

2017-06-30

How to Cite

Adi Guna, I. G. A. S., Fauziah, S. N., & Saputra, W. A. (2017). SENTENCE ORDERING USING CLUSTER CORRELATION AND PROBABILITY IN MULTI-DOCUMENTS SUMMARIZATION. Jurnal Ilmu Komputer Dan Informasi, 10(2), 77–85. https://doi.org/10.21609/jiki.v10i2.418

Issue

Vol. 10 No. 2 (2017): Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Information)

Section

Articles

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