Zobrazeno 1 - 10 of 50 pro vyhledávání: '"Ilyas Cicekli"'
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Akademický článek
A Hybrid Approach for Automated Short Answer Grading
Autor: Mustafa Kaya, Ilyas Cicekli
Publikováno v: IEEE Access, Vol 12, Pp 96332-96341 (2024)
With the widespread use of distance learning, technological developments have also been applied in the field of education. The need for accurate and efficient assessment methods for online exams has become even more apparent, especially with remote l
Externí odkaz: https://doaj.org/article/ff128675f32a4c7d9afdd77e8b71f1be
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2
Akademický článek
REHREC: Review Effected Heterogeneous Information Network Recommendation System
Autor: Farhad Khalilzadeh, Ilyas Cicekli
Publikováno v: IEEE Access, Vol 12, Pp 42751-42760 (2024)
Heterogeneous Information Networks have bunches of rich secret information that assist us in the creation of successful recommendation frameworks. A Heterogeneous Information Network (HIN) includes useful knowledge required for a recommendation syste
Externí odkaz: https://doaj.org/article/6075bffdf44943858265f0edb9ec2766
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5
Offensive Language Detection in Turkish Tweets with Bert Models
Autor: Ilyas Cicekli, Anil Ozberk
Publikováno v: 2021 6th International Conference on Computer Science and Engineering (UBMK).
As the insulting statements increase on the online platform, these negative statements create a reaction and disturb the peace of society. Offensive language detection research has been increased in recent years. This paper explores the effects of th
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::348da604bbd6f83ae4f1119a31eda38d
https://doi.org/10.1109/ubmk52708.2021.9559000
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7
Impact of Statistical Language Model on Example Based Machine Translation System between Kazakh and Turkish Languages
Autor: Ilyas Cicekli, Gulshat Kessikbayeva
Publikováno v: NLPIR
In this paper a hybrid example based machine translation system between Kazakh and Turkish languages is presented. The system mainly based on example based machine translation method which is supported by a statistical language model for the target l
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fb445987ada44993f741cbff51933e84
https://doi.org/10.1145/3443279.3443286
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10
Topic segmentation using word-level semantic relatedness functions
Autor: Ilyas Cicekli, Gonenc Ercan
Publikováno v: Journal of Information Science. 42:597-608
Semantic relatedness deals with the problem of measuring how much two words are related to each other. While there is a large body of research for developing new measures, the use of semantic relatedness (SR) measures in topic segmentation has not be
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a84262e0b2bf0630de45eef6b81a95c
https://doi.org/10.1177/0165551515602460
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