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AUTOMATIC DISCOVERY OF SIMILAR WORDS BY SUBSTITUTE VECTORS

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dc.contributor.authorDuzenli, Inci
dc.contributor.authorAmasyali, M. Fatih
dc.contributor.institutionauthorAMASYALI, Mehmet Fatih
dc.date.accessioned2026-06-27T13:53:08Z
dc.date.issued2016
dc.description.abstractPatterns between words are generally used for automatic information extraction. However, the patterns can only find related words close to each other. In this study, a method based on substitute vectors can overcome of this difficulty. Firstly, the word sets having the same substitute vector are constructed. Then, similar word sets are obtained according to the number of co-occurring sets. In this sets, semantically relatedness ratio is above 70%. The proposed method is unsupervised. Because, it does not require any seed words manually labeled.en
dc.identifier.eissn1304-7191
dc.identifier.endpage133
dc.identifier.issn1304-7205
dc.identifier.issue1
dc.identifier.startpage125
dc.identifier.urihttps://hdl.handle.net/20.500.14981/55285
dc.identifier.volume34
dc.identifier.wos000379847200011
dc.language.isoeng
dc.publisherYILDIZ TECHNICAL UNIV
dc.relation.ispartofSIGMA JOURNAL OF ENGINEERING AND NATURAL SCIENCES-SIGMA MUHENDISLIK VE FEN BILIMLERI DERGISI
dc.subjectAutomatic information extraction
dc.subjectdiscovery of similar words
dc.subjectsynonyms
dc.subjectnear-synonyms
dc.subjectsubstitute vectors
dc.subjectnatural language processing
dc.subjectartificial intelligence
dc.subjectEngineering
dc.titleAUTOMATIC DISCOVERY OF SIMILAR WORDS BY SUBSTITUTE VECTORS
dc.typeArticle
dspace.entity.typePublication
local.import.sourceWOS

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