Zobrazeno 1 - 10
of 160
pro vyhledávání: '"Jungyun Seo"'
Publikováno v:
Mathematics, Vol 12, Iss 13, p 2037 (2024)
Video captioning is a task of describing the visual scene of a given video in natural language. There have been several lines of research focused on developing large-scale models in a transfer learning paradigm, with major challenge being the tradeof
Externí odkaz:
https://doaj.org/article/68e586adf2cb4954b1386dd034aa8fb4
Publikováno v:
Encephalitis, Vol 3, Iss 3, Pp 97-101 (2023)
In this report, we present a rare case of anti-Ma2-associated encephalitis concurrent with coronavirus disease 2019 (COVID-19) following breast cancer surgery. The patient exhibited minimal clinical symptoms of COVID-19 infection but developed seizur
Externí odkaz:
https://doaj.org/article/8cc566aee4c74f59a7c929c03ba59926
Publikováno v:
Sensors, Vol 23, Iss 18, p 7875 (2023)
With the development of multimedia systems in wireless environments, the rising need for artificial intelligence is to design a system that can properly communicate with humans with a comprehensive understanding of various types of information in a h
Externí odkaz:
https://doaj.org/article/b87cb19998c944e79081344f9be209d8
Publikováno v:
IEEE Access, Vol 9, Pp 80405-80414 (2021)
Named entity recognition (NER) is the process of categorizing named entities in a given text that suffers from the lack of labeled corpora, which is a long-standing issue. Deep neural networks have been successfully applied to NER tasks. However, the
Externí odkaz:
https://doaj.org/article/e8d717ee868348189bc23c64f1ce15cb
Publikováno v:
IEEE Access, Vol 8, Pp 59684-59693 (2020)
Deep neural networks (DNNs) require a large amount of manually labeled training data to make significant achievements. However, manual labeling is laborious and costly. In this study, we propose a method for automatically generating training data and
Externí odkaz:
https://doaj.org/article/56e2edceaca6450ea6bd7f6d520ef046
Publikováno v:
IEEE Access, Vol 8, Pp 27247-27256 (2020)
Word sense disambiguation (WSD) is a task of determining a reasonable sense of a word in a particular context. Although recent studies have demonstrated some progress in the advancement of neural language models, the scope of research is still such t
Externí odkaz:
https://doaj.org/article/dbb398f9072d415cad83de7562f4a0ff
Publikováno v:
IEEE Access, Vol 8, Pp 5667-5677 (2020)
Machine reading comprehension (MRC) is a natural language processing task wherein a given question is answered according to a holistic understanding of a given context. Recently, many researchers have shown interest in MRC, for which a considerable n
Externí odkaz:
https://doaj.org/article/e7be81cc4a774c9ebde8c6b1cd13e07f
Publikováno v:
IEEE Access, Vol 7, Pp 70308-70318 (2019)
Biomedical named entity recognition (biomedical NER) is a core component to build biomedical text processing systems, such as biomedical information retrieval and question answering systems. Recently, many studies based on machine learning have been
Externí odkaz:
https://doaj.org/article/1d68e46b55784456a64e270632ac549c
Publikováno v:
Data in Brief, Vol 35, Iss , Pp 106919- (2021)
This article provides individual speakers’ acoustic durational data on preboundary (phrase-final) lengthening in Japanese. The data are based on speech recorded from fourteen native speakers of Tokyo Japanese in a laboratory setting. Each speaker p
Externí odkaz:
https://doaj.org/article/0f1ba907038f425ca9e592df839a01cc
Publikováno v:
Sensors, Vol 18, Iss 5, p 1581 (2018)
In recent times, with the increasing interest in conversational agents for smart homes, task-oriented dialog systems are being actively researched. However, most of these studies are focused on the individual modules of such a system, and there is an
Externí odkaz:
https://doaj.org/article/576a4347831b422286d8c4efb9485f4d