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Automatically generating multi-document summarizations

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Nov 2011Publisher:IEEEJournal:2011 11th International Conference on Intelligent Systems Design and Applications
Authors: Daan Van Britsom; Antoon Bronselaer; Guy De Tré;

doi: 10.1109/isda.2011.6121645

Automatically generating multi-document summarizations

Abstract

This paper describes the News Summarization or NEWSUM algorithm designed to automatically generate multi-document summarizations, hereby focusing on textual documents that concern news items. The NEWSUM algorithm has been implemented and tested in several ways. An overview of both the implementation and the test results are covered in this document.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
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