International Journal of Computational Intelligence Systems

Volume 2, Issue 3, October 2009, Pages 202 - 218

Experiences with and Reflections on Text Summarization Tools

Authors
Shuha Liu
Corresponding Author
Shuha Liu
Received 23 August 2009, Accepted 12 September 2009, Available Online 1 October 2009.
DOI
10.2991/ijcis.2009.2.3.3How to use a DOI?
Keywords
Text summarization, sentence extraction methods, summarization evaluation, computing with words
Abstract

Text summarization is a process of distilling the most important content from text documents. While human beings have proven to be extremely capable summarizers, computer based automatic abstracting and summarizing has proven to be extremely challenging tasks. In this paper we report our experience with applying extractive summarization techniques to process news articles, economic reports and nursing narratives. We present analysis of the effect of different summarization methods and parameters on the summarization results. We also compare the performance of the summarizers across the three different document genres. The learned lessons are discussed and the possibilities for applying the theory of Computing with Words in text summarization are elaborated.

Copyright
© 2009, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
2 - 3
Pages
202 - 218
Publication Date
2009/10/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.2009.2.3.3How to use a DOI?
Copyright
© 2009, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Shuha Liu
PY  - 2009
DA  - 2009/10/01
TI  - Experiences with and Reflections on Text Summarization Tools
JO  - International Journal of Computational Intelligence Systems
SP  - 202
EP  - 218
VL  - 2
IS  - 3
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2009.2.3.3
DO  - 10.2991/ijcis.2009.2.3.3
ID  - Liu2009
ER  -