Cover coefficient-based multi-document summarization

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Cover coefficient-based multi-document summarization.pdf (143.86 KB)

Date

2009-04

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Source Title

ECIR 2009: Advances in Information Retrieval

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Publisher

Springer

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Pages

670 - 674

Language

English

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Conference Paper

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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.

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Keywords

Automated text summarization , Cover coefficient concept , Multi-document summarization , Automated text summarization , Efficient algorithm , Algorithms , Information services , Information retrieval

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Citation

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http://hdl.handle.net/11693/26745

Published Version (Please cite this version)

http://dx.doi.org/10.1007/978-3-642-00958-7_64

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Scholarly Publications - Computer Engineering