Turkish keyphrase extraction using multi-criterion ranking

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dc.citation.epage273en_US
dc.citation.spage269en_US
dc.contributor.authorÖzdemir, Bahadıren_US
dc.contributor.authorÇiçekli, İlyasen_US
dc.coverage.spatialGüzelyurt, Cyprus
dc.date.accessioned2016-02-08T12:26:42Z
dc.date.available2016-02-08T12:26:42Z
dc.date.issued2009-09en_US
dc.departmentDepartment of Computer Engineeringen_US
dc.descriptionDate of Conference: 14-16 Sept. 2009
dc.descriptionConference name: 24th International Symposium on Computer and Information Sciences, ISCIS 2009
dc.description.abstractKeyphrases have been extensively used for indexing and searching in databases and information retrieval systems. In addition, they provide useful information about semantic content of a document. In this paper, we propose an algorithm for automating Turkish keyphrase extraction. Several features of candidate phrases are exploited and form the extraction task as a problem of finding optimal set of candidate phrases. We use multi-criterion ranking to tackle this problem. © 2009 IEEE.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T12:26:42Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2009en
dc.identifier.doi10.1109/ISCIS.2009.5291825en_US
dc.identifier.urihttp://hdl.handle.net/11693/28670en_US
dc.language.isoEnglishen_US
dc.publisherIEEEen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/ISCIS.2009.5291825en_US
dc.source.title24th International Symposium on Computer and Information Sciences, ISCIS 2009en_US
dc.subjectKeyphrase extractionen_US
dc.subjectMulti-criterion rankingen_US
dc.subjectOptimal setsen_US
dc.subjectSemantic contenten_US
dc.subjectTurkishsen_US
dc.subjectInformation retrievalen_US
dc.subjectInformation retrieval systemsen_US
dc.subjectInformation servicesen_US
dc.subjectFeature extractionen_US
dc.titleTurkish keyphrase extraction using multi-criterion rankingen_US
dc.typeConference Paperen_US

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