Automated summarization assessment system: quality assessment without a reference summary

Asad Abdi; Norisma Idris

Automated summarization assessment system: quality assessment without a reference summary

Asad Abdi, Norisma Idris

Research output: Contribution to journal › Article › Academic › peer-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 language	English
Pages (from-to)	266-270
Number of pages	5
Journal	International Journal of Advances in Computer Science & Its Applications
Volume	4
Issue number	4
Publication status	Published - 2014
Externally published	Yes
Event	International Conference on Advances in Applied Science And Environmental Engineering, ASEE 2014 - Kuala Lumpur, Malaysia Duration: 2 Aug 2014 → 3 Aug 2014

Keywords

Summarization evolution algorithm
Linguistic measurement
Intelligent tutoring systems
Similarity measure

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Abdi2014automatedFinal published version, 631 KB

http://journals.theired.org/journals/paper/details/5143.html

1 Conference contribution

Automated summarization assessment system: quality assessment without a reference summary
Abdi, A. & Idris, N., 2014, Proceedings of the International Conference on Advances in Applied Science and Environmental Engineering. ASEE 2014. Institute of Research Engineers and Doctors, p. 125-129 5 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Cite this

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title = "Automated summarization assessment system: quality assessment without a reference summary",

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.",

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N2 - 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.

AB - 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.

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KW - Intelligent tutoring systems

KW - Similarity measure

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ER -

Automated summarization assessment system: quality assessment without a reference summary

Abstract

Keywords

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Research output

Automated summarization assessment system: quality assessment without a reference summary

Cite this