AUTOMATIC ABSTRACTING IMPORTANT SENTENCES

F. J. Ren ()
Additional contact information
F. J. Ren: Faculty of Engineering, The University of Tokushima, 2-1 Minamijosanjima, Tokushima, Japan, 770-8506, Japan

International Journal of Information Technology & Decision Making (IJITDM), 2005, vol. 04, issue 01, 141-152

Abstract: Being increasingly popular, the Internet greatly changes our lives. We can conveniently receive and send information via the Internet. With the information explosion on the Web, it is becoming crucial to develop means to automatically extract important sentences from the Web articles. In this paper, we propose a method which uses both statistical and structural information for sentence extraction. In addition, following the analysis of human's extractions, several heuristic rules are added to filter out non-important sentences and to prevent similar sentences from being extracted. Our experimental results proved the effectiveness of these means. In particular, once the heuristic rules being added, a significant improvement has been observed.

Keywords: Automatic Extraction of Important Sentence; statistical information; structural feature; web (search for similar items in EconPapers)
Date: 2005
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0219622005001428
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:ijitdm:v:04:y:2005:i:01:n:s0219622005001428

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0219622005001428

Access Statistics for this article

International Journal of Information Technology & Decision Making (IJITDM) is currently edited by Yong Shi

More articles in International Journal of Information Technology & Decision Making (IJITDM) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().