Development and evaluation of a multi-document summarization method focusing on research concepts and their research relationships

This paper reports the design and evaluation of a method for summarizing a set of related research abstracts. This summarization method extracts research concepts and their research relationships from different abstracts, integrates the extracted information across abstracts, and presents the integr...

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Main Authors: Ou, Shiyan, Goh, Dion Hoe-Lian, Khoo, Christopher S. G.
Other Authors: Wee Kim Wee School of Communication and Information
Format: Conference or Workshop Item
Language:English
Published: 2009
Subjects:
Online Access:https://hdl.handle.net/10356/91364
http://hdl.handle.net/10220/6119
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-913642020-03-07T12:15:48Z Development and evaluation of a multi-document summarization method focusing on research concepts and their research relationships Ou, Shiyan Goh, Dion Hoe-Lian Khoo, Christopher S. G. Wee Kim Wee School of Communication and Information International Conference on Asian Digital Libraries (8th : 2005 : Thailand) DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval This paper reports the design and evaluation of a method for summarizing a set of related research abstracts. This summarization method extracts research concepts and their research relationships from different abstracts, integrates the extracted information across abstracts, and presents the integrated information in a Web-based interface to generate a multi-document summary. This study focused on sociology dissertation abstracts, but can be extended to other research abstracts. The summarization method was evaluated in a user study to assess the quality and usefulness of the generated summaries in comparison to a sentence extraction method used in MEAD and a method that extracts only research objective sentences. The evaluation results indicated that the majority of sociology researchers preferred our variable-based summary generated with the use of a taxonomy. Accepted version 2009-10-02T00:50:36Z 2019-12-06T18:04:21Z 2009-10-02T00:50:36Z 2019-12-06T18:04:21Z 2005 2005 Conference Paper Ou, S., Khoo, C. S. G., & Goh, H. L. (2005). Development and evaluation of a multi-document summarization method focusing on research concepts and their research relationships. Proceedings of the 8th International Conference on Asian Digital Libraries ICADL 2005, (December 12-15, Bangkok, Thailand), Lecture Notes in Computer Science 3815, 283-292. https://hdl.handle.net/10356/91364 http://hdl.handle.net/10220/6119 10.1007/11599517_32 en The original publication is available at www.springerlink.com. 11 p. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval
spellingShingle DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval
Ou, Shiyan
Goh, Dion Hoe-Lian
Khoo, Christopher S. G.
Development and evaluation of a multi-document summarization method focusing on research concepts and their research relationships
description This paper reports the design and evaluation of a method for summarizing a set of related research abstracts. This summarization method extracts research concepts and their research relationships from different abstracts, integrates the extracted information across abstracts, and presents the integrated information in a Web-based interface to generate a multi-document summary. This study focused on sociology dissertation abstracts, but can be extended to other research abstracts. The summarization method was evaluated in a user study to assess the quality and usefulness of the generated summaries in comparison to a sentence extraction method used in MEAD and a method that extracts only research objective sentences. The evaluation results indicated that the majority of sociology researchers preferred our variable-based summary generated with the use of a taxonomy.
author2 Wee Kim Wee School of Communication and Information
author_facet Wee Kim Wee School of Communication and Information
Ou, Shiyan
Goh, Dion Hoe-Lian
Khoo, Christopher S. G.
format Conference or Workshop Item
author Ou, Shiyan
Goh, Dion Hoe-Lian
Khoo, Christopher S. G.
author_sort Ou, Shiyan
title Development and evaluation of a multi-document summarization method focusing on research concepts and their research relationships
title_short Development and evaluation of a multi-document summarization method focusing on research concepts and their research relationships
title_full Development and evaluation of a multi-document summarization method focusing on research concepts and their research relationships
title_fullStr Development and evaluation of a multi-document summarization method focusing on research concepts and their research relationships
title_full_unstemmed Development and evaluation of a multi-document summarization method focusing on research concepts and their research relationships
title_sort development and evaluation of a multi-document summarization method focusing on research concepts and their research relationships
publishDate 2009
url https://hdl.handle.net/10356/91364
http://hdl.handle.net/10220/6119
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