Cover coefficient-based multi-document summarization

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dc.citation.epage674en_US
dc.citation.spage670en_US
dc.contributor.authorErcan, Gönençen_US
dc.contributor.authorCan, Fazlıen_US
dc.coverage.spatialToulouse, France
dc.date.accessioned2016-02-08T11:34:34Z
dc.date.available2016-02-08T11:34:34Z
dc.date.issued2009-04en_US
dc.departmentDepartment of Computer Engineeringen_US
dc.descriptionConference name: ECIR '09 Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval
dc.descriptionDate of Conference: 06 - 09 April, 2009
dc.description.abstractIn 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.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T11:34:34Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2009en
dc.identifier.doi10.1007/978-3-642-00958-7_64en_US
dc.identifier.urihttp://hdl.handle.net/11693/26745
dc.language.isoEnglishen_US
dc.publisherSpringeren_US
dc.relation.isversionofhttp://dx.doi.org/10.1007/978-3-642-00958-7_64en_US
dc.source.titleECIR 2009: Advances in Information Retrievalen_US
dc.subjectAutomated text summarizationen_US
dc.subjectCover coefficient concepten_US
dc.subjectMulti-document summarizationen_US
dc.subjectAutomated text summarizationen_US
dc.subjectEfficient algorithmen_US
dc.subjectAlgorithmsen_US
dc.subjectInformation servicesen_US
dc.subjectInformation retrievalen_US
dc.titleCover coefficient-based multi-document summarizationen_US
dc.typeConference Paperen_US

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