Stylistic document retrieval for Turkish

dc.citation.epage667en_US
dc.citation.spage663en_US
dc.contributor.authorZamalieva, Daniyaen_US
dc.contributor.authorKalaycılar, Fıraten_US
dc.contributor.authorKale, Aslıen_US
dc.contributor.authorPehlivan, Selenen_US
dc.contributor.authorCan, Fazlıen_US
dc.coverage.spatialGüzelyurt, Cyprus
dc.date.accessioned2016-02-08T12:26:22Z
dc.date.available2016-02-08T12:26:22Z
dc.date.issued2009-09en_US
dc.departmentDepartment of Computer Engineeringen_US
dc.descriptionConference name: 24th International Symposium on Computer and Information Sciences, 2009
dc.descriptionDate of Conference: 14-16 Sept. 2009
dc.description.abstractIn information retrieval (IR) systems, there are a query and a collection of documents compared with this query and ranked according to a particular similarity measure. Since texts with the same content can be written by different authors, the writing styles of the documents change as well accordingly. This observation brings the idea of investigating text by means of style. In this paper, we analyze text documents in terms of stylistic features of the written text and measure effectiveness of these features in an IR system. Our main focus is on Turkish text documents. Although there are many studies about broadening IR systems with style based enhancement, there is no similar application for Turkish which performs retrieval depending purely on style. © 2009 IEEE.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T12:26:22Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2009en
dc.identifier.doi10.1109/ISCIS.2009.5291902en_US
dc.identifier.urihttp://hdl.handle.net/11693/28655en_US
dc.language.isoEnglishen_US
dc.publisherIEEEen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/ISCIS.2009.5291902en_US
dc.source.title24th International Symposium on Computer and Information Sciences, ISCIS 2009en_US
dc.subjectCollection of documentsen_US
dc.subjectDocument retrievalen_US
dc.subjectSimilarity measureen_US
dc.subjectText documenten_US
dc.subjectTurkish textsen_US
dc.subjectTurkishsen_US
dc.subjectWriting styleen_US
dc.subjectWritten textsen_US
dc.subjectInformation servicesen_US
dc.subjectInformation retrievalen_US
dc.titleStylistic document retrieval for Turkishen_US
dc.typeConference Paperen_US

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