Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Cengiz Hark"'
Autor:
Cengiz Hark
Publikováno v:
Heliyon, Vol 10, Iss 11, Pp e31813- (2024)
In biomedicine, the expansive scientific literature combined with the frequent use of abbreviations, acronyms, and symbols presents considerable challenges for text processing and summarization. The Unified Medical Language System (UMLS) has been a g
Externí odkaz:
https://doaj.org/article/5e3b1cd496e44b5eb7e68bf370942500
Publikováno v:
Volume: 24, Issue: 4 1433-1444
Politeknik Dergisi
Politeknik Dergisi
There is growing interest in studies on text classification as a result of the exponential increase in the amount of data available. Many studies have been conducted in the field of text clustering, using different approaches. This study introduces S
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e3b743e366593a33e6e2012a4d1ba79
https://doi.org/10.2339/politeknik.684558
https://doi.org/10.2339/politeknik.684558
Publikováno v:
Volume: Vol:7, Issue: Issue:2 95-102
Computer Science
Bilgisayar Bilimleri
Computer Science
Bilgisayar Bilimleri
Despite space, time, and financial limitations, people who want to receive education participate intensively in online education programs that have emerged with the development of technology. With the Covid-19 outbreak, this interest has increased ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8e5f9a0ef14b60e65a609710dead233
https://doi.org/10.53070/bbd.1199055
https://doi.org/10.53070/bbd.1199055
Publikováno v:
Volume: Vol: 7, Issue: Issue: 1 10-19
Computer Science
Computer Science
Thanks to the rapid development of deep learning technology, smart systems used in almost every part of our daily life are being developed. Developed applications not only made our lives easier, but also contributed positively to nature. Traditional
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5468659d39a3db72ee09685a074a764
https://doi.org/10.53070/bbd.1071536
https://doi.org/10.53070/bbd.1071536
Publikováno v:
Volume: 8, Issue: 4 1349-1362
Bitlis Eren Üniversitesi Fen Bilimleri Dergisi
Bitlis Eren Üniversitesi Fen Bilimleri Dergisi
Günümüzde gerek metin gerekse cümle sınıflandırma problemleri üzerinde yoğunlukla çalışılmaktadır. Metin sınıflandırma işlemlerinde en önemli problemlerden biri sınıflandırılacak metinlerin yapısal olmamasıdır. Belli bir for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b0c62201383eabf922705acc0679ed8c
https://doi.org/10.17798/bitlisfen.531221
https://doi.org/10.17798/bitlisfen.531221
Publikováno v:
Volume: 10, Issue: 4 1349-1365
Bitlis Eren Üniversitesi Fen Bilimleri Dergisi
Bitlis Eren Üniversitesi Fen Bilimleri Dergisi
Bu çalışmada, çok belgeli metin özetleme için yeni bir yöntemi CatSumm'ı (Cengiz, Ali, Taner Özetleme) tanıtıyoruz. Önerilen yöntem, üç ana adıma göre bir özet oluşturmaktadır: Giriş metinlerinin temsili, CatSumm modelinin ana a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e86cc76e99833ee974c316e94c2d503e
https://hdl.handle.net/20.500.12899/1121
https://hdl.handle.net/20.500.12899/1121
Publikováno v:
Journal of Information Science. :016555152211018
Automatic text summarisation is obtaining a subset that accurately represents the main text. A quality summary should contain the maximum amount of information while avoiding redundant information. Redundancy is a severe deficiency that causes unnece
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f271803d7ab820a2f23d156c0b943b57
https://doi.org/10.1177/01655515221101841
https://doi.org/10.1177/01655515221101841
Publikováno v:
2019 International Artificial Intelligence and Data Processing Symposium (IDAP).
Nowadays, it is clear that the old mathematical models are incomplete because of the large size of image data set. For this reason, the Deep Learning models introduced in the field of image processing meet this need in the software field. In this stu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1f9747356e7ffa0e4a8610dca929371
https://doi.org/10.1109/idap.2019.8875929
https://doi.org/10.1109/idap.2019.8875929
Publikováno v:
2019 International Artificial Intelligence and Data Processing Symposium (IDAP).
There is growing interest in automatic summarizing systems. This study focuses on a subtractive, general and unsupervised summarization system. It is provided to represent the texts to be summarized with graphs and then graph entropy is used to inter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::68a56aa6b882dcbdcc4ca3dde1abf65e
https://doi.org/10.1109/idap.2019.8875936
https://doi.org/10.1109/idap.2019.8875936
Publikováno v:
Volume: 8, Issue: 3 1109-1118
Bitlis Eren Üniversitesi Fen Bilimleri Dergisi
Bitlis Eren Üniversitesi Fen Bilimleri Dergisi
Cümle seçerek özetleme çalışmaları kapsamında birçok farklı yaklaşım mevcuttur. Bu çalışmada tek dokümanlı çıkarıcı metin özetleme için yeni ve denetimsiz bir süreç önerilmektedir. Çalışma kapsamında metin dokümanları
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::119d9bba005ce3057f0cb6fe09a94dae
https://dergipark.org.tr/tr/pub/bitlisfen/issue/49103/568883
https://dergipark.org.tr/tr/pub/bitlisfen/issue/49103/568883