A comparative study of machine generated extracts and human generated extracts

A comparative study of machine generated extracts and human generated extracts

While it is a well acknowledged fact that abstracting can be more comprehensive and take into consideration the context in which the article is written, it is much more tedious than automated extraction in terms of time and effort and is subject to bias, fatigue, uniform approach, subjectivity etc.

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Bibliographic Details
Main Author: Yeo, Hwee Tiong.
Other Authors: Hepworth, Mark
Format: Theses and Dissertations
Language:English
Published: 2009
Subjects:
DRNTU::Engineering::Computer science and engineering::Information systems::Information systems applications
Online Access:http://hdl.handle.net/10356/20477
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Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-20477
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spelling sg-ntu-dr.10356-204772020-09-27T20:16:29Z A comparative study of machine generated extracts and human generated extracts Yeo, Hwee Tiong. Hepworth, Mark School of Applied Science DRNTU::Engineering::Computer science and engineering::Information systems::Information systems applications While it is a well acknowledged fact that abstracting can be more comprehensive and take into consideration the context in which the article is written, it is much more tedious than automated extraction in terms of time and effort and is subject to bias, fatigue, uniform approach, subjectivity etc. Master of Science (Information Studies) 2009-12-15T03:04:43Z 2009-12-15T03:04:43Z 1997 1997 Thesis http://hdl.handle.net/10356/20477 en NANYANG TECHNOLOGICAL UNIVERSITY 150 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 systems applications
spellingShingle DRNTU::Engineering::Computer science and engineering::Information systems::Information systems applications
Yeo, Hwee Tiong.
A comparative study of machine generated extracts and human generated extracts
description While it is a well acknowledged fact that abstracting can be more comprehensive and take into consideration the context in which the article is written, it is much more tedious than automated extraction in terms of time and effort and is subject to bias, fatigue, uniform approach, subjectivity etc.
author2 Hepworth, Mark
author_facet Hepworth, Mark
Yeo, Hwee Tiong.
format Theses and Dissertations
author Yeo, Hwee Tiong.
author_sort Yeo, Hwee Tiong.
title A comparative study of machine generated extracts and human generated extracts
title_short A comparative study of machine generated extracts and human generated extracts
title_full A comparative study of machine generated extracts and human generated extracts
title_fullStr A comparative study of machine generated extracts and human generated extracts
title_full_unstemmed A comparative study of machine generated extracts and human generated extracts
title_sort comparative study of machine generated extracts and human generated extracts
publishDate 2009
url http://hdl.handle.net/10356/20477
_version_ 1681057964682641408

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