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dc.contributor.advisorAkman, Varolen_US
dc.contributor.authorKoca, Aylinen_US
dc.date.accessioned2016-07-01T11:01:19Z
dc.date.available2016-07-01T11:01:19Z
dc.date.issued2004
dc.identifier.urihttp://hdl.handle.net/11693/29553
dc.descriptionCataloged from PDF version of article.en_US
dc.description.abstractThere are three types of sentences that form all existing natural languages: verbal sentences (e.g. “I read the book.”), copulative sentences (e.g. “The book is on the table.”), and existential sentences (e.g. “There is a book on the table.”). Syntactic and semantic recognition of these sentence types are crucially important in computational linguistics although there has not been any significant work towards this end. This thesis, in an attempt to fill this evident gap, is on identifying and assigning semantic categories of Turkish existential sentences in print. Existential sentences in Turkish are minimally characterized by the two existential particles var, meaning there is/are, and yok, meaning there is/are no. In addition to these most basic meanings, other senses of existential particles are possible, which can be categorized into groups such as case existentials and possession existentials. Our system does shallow semantic parsing in defining the predicate-argument relationships in an existential sentence on a word-byword basis, via utilizing Support Vector Machines, after which it proceeds with the semantic categorization of the whole sentence. For both of these tasks, our system produces promising results, in terms of accuracy and precision/recall, respectively. Part of this research contributes to the annotation of the METU-Sabancı Turkish Treebank with semantic information.en_US
dc.description.statementofresponsibilityKoca, Aylinen_US
dc.format.extentxi, 56 leavesen_US
dc.language.isoEnglishen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectshallow semantic parsingen_US
dc.subjectTurkish Treebanken_US
dc.subjectTurkish existential sentencesen_US
dc.subjectsupport vector machinesen_US
dc.subjectthematic rolesen_US
dc.subjectsemantic role labelingen_US
dc.subject.lccP325 .K63 2004en_US
dc.subject.lcshSemantics.en_US
dc.titleSemantic argument classification and semantic categorization of Turkish existential sentences using support vector learningen_US
dc.typeThesisen_US
dc.departmentDepartment of Computer Engineeringen_US
dc.publisherBilkent Universityen_US
dc.description.degreeM.S.en_US
dc.identifier.itemidBILKUTUPB084035


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