Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14365/3207
Full metadata record
DC FieldValueLanguage
dc.contributor.authorKisla, Tarik-
dc.contributor.authorMetin, Senem Kumova-
dc.contributor.authorKaraoglan, Bahar-
dc.date.accessioned2023-06-16T14:55:26Z-
dc.date.available2023-06-16T14:55:26Z-
dc.date.issued2015-
dc.identifier.isbn978-1-4673-7386-9-
dc.identifier.issn2165-0608-
dc.identifier.urihttps://hdl.handle.net/20.500.14365/3207-
dc.description23nd Signal Processing and Communications Applications Conference (SIU) -- MAY 16-19, 2015 -- Inonu Univ, Malatya, TURKEYen_US
dc.description.abstractAutomatic identification of text similarity has found applications in information retrieval, text summarization, assessment of machine translation, assessment of question answering, word sense disambiguation and many more. In this work, the results of discrimant analysis applied to find out the cumulative effect of the attributes used in the literature so far (ratio of common words, text lentgths, common word sequences, synonyms, hypernyms, hyponyms) in detecting word similarity are reported.en_US
dc.description.sponsorshipDept Comp Engn & Elect & Elect Engn,Elect & Elect Engn,Bilkent Univen_US
dc.language.isotren_US
dc.publisherIEEEen_US
dc.relation.ispartof2015 23Rd Sıgnal Processıng And Communıcatıons Applıcatıons Conference (Sıu)en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjecttext similarityen_US
dc.subjectparaphrase corpusen_US
dc.subjectdiscrimant analysisen_US
dc.titleExtracting the Features of Similarity in Short Textsen_US
dc.typeConference Objecten_US
dc.identifier.doi10.1109/SIU.2015.7130443-
dc.identifier.scopus2-s2.0-84939180034-
dc.departmentİzmir Ekonomi Üniversitesien_US
dc.identifier.startpage180en_US
dc.identifier.endpage183en_US
dc.identifier.wosWOS:000380500900024-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityN/A-
dc.identifier.wosqualityN/A-
item.openairetypeConference Object-
item.grantfulltextreserved-
item.languageiso639-1tr-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
crisitem.author.dept05.04. Software Engineering-
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
Files in This Item:
File SizeFormat 
2322.pdf
  Restricted Access
254.61 kBAdobe PDFView/Open
Show simple item record



CORE Recommender

SCOPUSTM   
Citations

3
checked on Apr 2, 2025

WEB OF SCIENCETM
Citations

2
checked on Apr 2, 2025

Page view(s)

96
checked on Mar 31, 2025

Download(s)

6
checked on Mar 31, 2025

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.