Cover coefficient-based multi-document summarization
Author
Ercan, Gönenç
Can, Fazlı
Date
2009-04Source Title
ECIR 2009: Advances in Information Retrieval
Publisher
Springer
Pages
670 - 674
Language
English
Type
Conference PaperItem Usage Stats
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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.
Keywords
Automated text summarizationCover coefficient concept
Multi-document summarization
Automated text summarization
Efficient algorithm
Algorithms
Information services
Information retrieval