Intrinsic evaluation of word embeddings for Turkish

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dc.authorid0000-0002-4253-8920en_US
dc.contributor.authorAgun, Hayri Volkan
dc.contributor.authorYilmazel, O.
dc.date.accessioned2021-03-20T20:26:57Z
dc.date.available2021-03-20T20:26:57Z
dc.date.issued2020
dc.departmentBTÜ, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.descriptionNewcastle Universityen_US
dc.description4th International Symposium on Computer Science and Intelligent Control, ISCSIC 2020 -- 17 November 2020 through 19 November 2020 -- -- 167082en_US
dc.description.abstractWord embeddings are evaluated through intrinsic and extrinsic tests. Similarity and analogy test are mainly preferred for intrinsic evaluation and natural language processing tasks such as named entity recognition and question answering are prefferred for extrinsic evaluation. Although there are various intrinsic evaluation datasets for English, the datasets for Turkish are very limited and measuring the degree of similarity and relatedness between words without specifying the type of semantic relation. In this paper, we propose an intrinsic evaluation dataset for evaluating different semantic relations other than a synonym, antonym, hypernym, and meronym as well as morphological relations of individual Turkish words. Moreover, we benchmark three publicly available word-embedding models on the proposed dataset and discuss agglutinative characteristics of the Turkish language for language modeling. © 2020 ACM.en_US
dc.identifier.doi10.1145/3440084.3441184en_US
dc.identifier.isbn9781450388894
dc.identifier.scopus2-s2.0-85101695574en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttp://doi.org/10.1145/3440084.3441184
dc.identifier.urihttps://hdl.handle.net/20.500.12885/1360
dc.indekslendigikaynakScopusen_US
dc.institutionauthorAgun, Hayri Volkan
dc.language.isoenen_US
dc.publisherAssociation for Computing Machineryen_US
dc.relation.ispartofACM International Conference Proceeding Seriesen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDeep Learningen_US
dc.subjectGANen_US
dc.subjectInfrared Imagesen_US
dc.subjectObject Detectionen_US
dc.titleIntrinsic evaluation of word embeddings for Turkishen_US
dc.typeConference Objecten_US

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