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...
Saved in:
Main Authors: | , , |
---|---|
Other Authors: | |
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2009
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/91364 http://hdl.handle.net/10220/6119 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-91364 |
---|---|
record_format |
dspace |
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 |
_version_ |
1681039412424605696 |