Stylistic document retrieval for Turkish
dc.citation.epage | 667 | en_US |
dc.citation.spage | 663 | en_US |
dc.contributor.author | Zamalieva, Daniya | en_US |
dc.contributor.author | Kalaycılar, Fırat | en_US |
dc.contributor.author | Kale, Aslı | en_US |
dc.contributor.author | Pehlivan, Selen | en_US |
dc.contributor.author | Can, Fazlı | en_US |
dc.coverage.spatial | Güzelyurt, Cyprus | |
dc.date.accessioned | 2016-02-08T12:26:22Z | |
dc.date.available | 2016-02-08T12:26:22Z | |
dc.date.issued | 2009-09 | en_US |
dc.department | Department of Computer Engineering | en_US |
dc.description | Conference name: 24th International Symposium on Computer and Information Sciences, 2009 | |
dc.description | Date of Conference: 14-16 Sept. 2009 | |
dc.description.abstract | In 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.provenance | Made 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: 2009 | en |
dc.identifier.doi | 10.1109/ISCIS.2009.5291902 | en_US |
dc.identifier.uri | http://hdl.handle.net/11693/28655 | en_US |
dc.language.iso | English | en_US |
dc.publisher | IEEE | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1109/ISCIS.2009.5291902 | en_US |
dc.source.title | 24th International Symposium on Computer and Information Sciences, ISCIS 2009 | en_US |
dc.subject | Collection of documents | en_US |
dc.subject | Document retrieval | en_US |
dc.subject | Similarity measure | en_US |
dc.subject | Text document | en_US |
dc.subject | Turkish texts | en_US |
dc.subject | Turkishs | en_US |
dc.subject | Writing style | en_US |
dc.subject | Written texts | en_US |
dc.subject | Information services | en_US |
dc.subject | Information retrieval | en_US |
dc.title | Stylistic document retrieval for Turkish | en_US |
dc.type | Conference Paper | en_US |
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