Automated summarization assessment system: quality assessment without a reference summary

Asad Abdi; Norisma Idris

doi:10.13140/RG.2.1.1410.1848

Automated summarization assessment system: quality assessment without a reference summary

Asad Abdi, Norisma Idris

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › 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
Title of host publication	Proceedings of the International Conference on Advances in Applied Science and Environmental Engineering. ASEE 2014
Publisher	Institute of Research Engineers and Doctors
Pages	125-129
Number of pages	5
ISBN (Print)	978-1-63248-004-0
DOIs	https://doi.org/10.13140/RG.2.1.1410.1848
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

Conference

Conference	International Conference on Advances in Applied Science And Environmental Engineering, ASEE 2014
Abbreviated title	ASEE
Country/Territory	Malaysia
City	Kuala Lumpur
Period	2/08/14 → 3/08/14

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Abdi2014automatedFinal published version, 623 KB

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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.",

author = "Asad Abdi and Norisma Idris",

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booktitle = "Proceedings of the International Conference on Advances in Applied Science and Environmental Engineering. ASEE 2014",

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note = "International Conference on Advances in Applied Science And Environmental Engineering, ASEE 2014, ASEE ; Conference date: 02-08-2014 Through 03-08-2014",

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Abdi, A & Idris, N 2014, Automated summarization assessment system: quality assessment without a reference summary. in Proceedings of the International Conference on Advances in Applied Science and Environmental Engineering. ASEE 2014. Institute of Research Engineers and Doctors, pp. 125-129, International Conference on Advances in Applied Science And Environmental Engineering, ASEE 2014, Kuala Lumpur, Malaysia, 2/08/14. https://doi.org/10.13140/RG.2.1.1410.1848

Automated summarization assessment system : quality assessment without a reference summary. / Abdi, Asad; Idris, Norisma.

Proceedings of the International Conference on Advances in Applied Science and Environmental Engineering. ASEE 2014. Institute of Research Engineers and Doctors, 2014. p. 125-129.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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T2 - International Conference on Advances in Applied Science And Environmental Engineering, ASEE 2014

AU - Abdi, Asad

AU - Idris, Norisma

PY - 2014

Y1 - 2014

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.

U2 - 10.13140/RG.2.1.1410.1848

DO - 10.13140/RG.2.1.1410.1848

M3 - Conference contribution

SN - 978-1-63248-004-0

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BT - Proceedings of the International Conference on Advances in Applied Science and Environmental Engineering. ASEE 2014

PB - Institute of Research Engineers and Doctors

Y2 - 2 August 2014 through 3 August 2014

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Automated summarization assessment system: quality assessment without a reference summary

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