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PREDICTION OF FUNCTION TAGS OF THE SIMPLE TURKISH SENTENCES BY CONDITIONAL RANDOM FIELDS

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dc.contributor.authorAygul, Mustafa
dc.contributor.authorKaraalioglu, Gurkan
dc.contributor.authorAmasyali, M. Fatih
dc.contributor.institutionauthorAMASYALI, Mehmet Fatih
dc.date.accessioned2026-06-27T13:27:24Z
dc.date.issued2014
dc.description.abstractThe prediction of function tags is a key component of several natural language tasks. In this study, Conditional Random Fields are employed for Turkish sentences. The affects of the size of training set, the usage of morphological features of the words are investigated. As a result, we achieved 75% success ratio on our datasets having 2000 simple sentences.en
dc.identifier.eissn1304-7191
dc.identifier.endpage30
dc.identifier.issn1304-7205
dc.identifier.issue1
dc.identifier.startpage23
dc.identifier.urihttps://hdl.handle.net/20.500.14981/52777
dc.identifier.volume32
dc.identifier.wos000219702500003
dc.language.isotur
dc.publisherYILDIZ TECHNICAL UNIV
dc.relation.ispartofSIGMA JOURNAL OF ENGINEERING AND NATURAL SCIENCES-SIGMA MUHENDISLIK VE FEN BILIMLERI DERGISI
dc.subjectNatural language processing
dc.subjectdependency parsing
dc.subjectartificial intelligence
dc.subjectsequence labeling
dc.subjectconditional random fields
dc.subjectEngineering
dc.titlePREDICTION OF FUNCTION TAGS OF THE SIMPLE TURKISH SENTENCES BY CONDITIONAL RANDOM FIELDS
dc.typeArticle
dspace.entity.typePublication
local.import.sourceWOS

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