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Evaluation of semantic relatedness measures for Turkish language

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dc.contributor.author Sopaoğlu, Uğur
dc.contributor.author Ercan, Gönenç
dc.date.accessioned 2022-04-14T12:07:09Z
dc.date.available 2022-04-14T12:07:09Z
dc.date.issued 2018
dc.identifier.citation Sopaoğlu, Uğur; Ercan, Gönenç (2018). "Evaluation of semantic relatedness measures for Turkish language", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 17th International Conference on Intelligent Text Processing and Computational Linguistics, CICLing 2016, pp. 600-611. tr_TR
dc.identifier.isbn 9783319754765
dc.identifier.issn 0302-9743
dc.identifier.uri http://hdl.handle.net/20.500.12416/5395
dc.description.abstract The problem of quantifying semantic relatedness level of two words is a fundamental sub-task for many natural language processing systems. While there is a large body of research on measuring semantic relatedness in the English language, the literature lacks detailed analysis for these methods in agglutinative languages. In this research, two new evaluation resources for the Turkish language are constructed. An extensive set of experiments involving multiple tasks: word association, semantic categorization, and automatic WordNet relationship discovery are performed to evaluate different semantic relatedness measures in the Turkish language. As Turkish is an agglutinative language, the morphological processing component is important for distributional similarity algorithms. For languages with rich morphological variations and productivity, methods ranging from simple stemming strategies to morphological disambiguation exists. In our experiments, different morphological processing methods for the Turkish language are investigated. © Springer International Publishing AG, part of Springer Nature 2018. tr_TR
dc.language.iso eng tr_TR
dc.relation.isversionof 10.1007/978-3-319-75477-2_43 tr_TR
dc.rights info:eu-repo/semantics/closedAccess tr_TR
dc.subject Distributional Similarity tr_TR
dc.subject Lexical Semantics tr_TR
dc.subject Semantic Relatedness tr_TR
dc.title Evaluation of semantic relatedness measures for Turkish language tr_TR
dc.type conferenceObject tr_TR
dc.relation.journal Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) tr_TR
dc.contributor.authorID 47438 tr_TR
dc.identifier.volume 9623 tr_TR
dc.identifier.startpage 600 tr_TR
dc.identifier.endpage 611 tr_TR
dc.contributor.department Çankaya Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü tr_TR


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