Automatic Tailored Multi-Paper Summarization based on Rhetorical Document Profile and Summary Specification

Masayu Leylia Khodra (School of Electrical Engineering and Informatics, Bandung Institute of Technology, Jalan Ganesa No.10, Bandung 40132)
Dwi Hendratmo Widyantoro (School of Electrical Engineering and Informatics, Bandung Institute of Technology, Jalan Ganesa No.10, Bandung 40132)
E. Aminudin Aziz (Faculty of Language and Arts Education, Indonesia University of Education, Jalan Dr. Setiabudhi No. 229 Bandung)
Bambang Riyanto Trilaksono (School of Electrical Engineering and Informatics, Bandung Institute of Technology, Jalan Ganesa No.10, Bandung 40132)

Journal of ICT Research and Applications
Vol. 6 No. 3 (2012)

In  order  to  assist  researchers  in  addressing  time  constraint  and  low relevance  in  using  scientific  articles,  an  automatic  tailored  multi-paper summarization  (TMPS)  is  proposed.  In  this  paper,  we  extend  Teufel's  tailored summary  to  deal  with  multi-papers  and  more  flexible  representation  of  user information needs. Our TMPS extracts Rhetorical Document Profile (RDP) from each paper and  presents a summary based on user information needs.  Building Plan  Language  (BPLAN)  is  introduced  as  a  formalization  of  Teufel's  building plan  and  used  to  represent summary  specification,  which  is  more  flexible representation user information needs. Surface repair is embedded within the BPLAN  for  improving  the  readability  of  extractive summary.  Our  experiment shows that the average performance of RDP extraction module is 94.46%, which promises  high  quality  of  extracts  for  summary  composition.  Generality evaluation  shows  that  our  BPLAN  is  flexible  enough  in  composing  various forms  of summary.  Subjective  evaluation  provides evidence that  surface repair operators can improve the resulting summary readability.