Automated summarization assessment system: quality assessment without a reference summary

Asad Abdi, Norisma Idris

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

This paper presents an algorithm that can be used to assess the quality of the summaries without a gold standard. This algorithm is based on linguistic knowledge. An innovative aspect of our algorithm lies in its ability to improve the performance of existing techniques for evaluation summaries. The evaluation results on the students' summaries demonstrate that the proposed algorithm is able to obtain high accuracy and improve performance compared with the current techniques. The algorithm has also been developed into a learning environment for helping both teachers and students.
Original languageEnglish
Pages (from-to)266-270
Number of pages5
JournalInternational Journal of Advances in Computer Science & Its Applications
Volume4
Issue number4
Publication statusPublished - 2014
Externally publishedYes
EventInternational Conference on Advances in Applied Science And Environmental Engineering, ASEE 2014 - Kuala Lumpur, Malaysia
Duration: 2 Aug 20143 Aug 2014

Keywords

  • Summarization evolution algorithm
  • Linguistic measurement
  • Intelligent tutoring systems
  • Similarity measure

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