@Article{JICS-8-227,
author = {Naser Jawas , Randy Cahya Wihandika , and Agus Zainal Arifin},
title = {Sentence Ordering Algorithm with Subject Criterion for Automatic Multi-Document Summarization},
journal = {Journal of Information and Computing Science},
year = {2024},
volume = {8},
number = {3},
pages = {227--234},
abstract = {In multi-document summarization, order of sentences in summarization result must be coherence 
and it must represent information in correct steps to make it easy to understand by the reader. Problem arises 
when some subject of sentences are represented using pronouns. The subject pronoun in an incorrect sentence 
order will confuse the reader as the pronoun can refer to more than one subject. In this paper, we propose a 
new subject criterion for sentence ordering strategy to complement the existing ordering strategy. Sentences 
will be clustered based on its subject and will be ordered with respect to subject levels. We test the system 
using  Document  Understanding  Conference  summarization  data  and  compare  it  with  results  from  existing 
algorithm  without  using  subject  criterion.  The  accuracy  of  ordering  with  all  criterions  including  subject 
criterion  is  83%.  The  result  shows  that  there  is  a  slight  improvement  in  ordering  accuracy  when  subject 
criterion is included. 
},
issn = {1746-7659},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/jics/22614.html}
}