Cover coefficient-based multi-document summarization

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Author
Ercan, G.
Can, F.
Date
2009
Journal Title
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Print ISSN
0302-9743
Publisher
Springer
Volume
5478
Pages
670 - 674
Language
English
Type
Conference paper
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http://hdl.handle.net/11693/26745
Abstract
In this paper we present a generic, language independent multi-document summarization system forming extracts using the cover coefficient concept. Cover Coefficient-based Summarizer (CCS) uses similarity between sentences to determine representative sentences. Experiments indicate that CCS is an efficient algorithm that is able to generate quality summaries online. © Springer-Verlag Berlin Heidelberg 2009.
Published as
http://dx.doi.org/10.1007/978-3-642-00958-7_64
Keywords
Automated text summarization
Cover coefficient concept
Multi-document summarization
Automated text summarization
Efficient algorithm
Algorithms
Information services
Information retrieval
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