Zobrazeno 1 - 10
of 82
pro vyhledávání: '"Fumiyo Fukumoto"'
Autor:
Masyitah Abu, Nik Adilah Hanin Zahri, Amiza Amir, Muhammad Izham Ismail, Azhany Yaakub, Fumiyo Fukumoto, Yoshimi Suzuki
Publikováno v:
Diagnostics, Vol 13, Iss 11, p 1946 (2023)
Bayesian optimization (BO) is commonly used to optimize the hyperparameters of transfer learning models to improve the model’s performance significantly. In BO, the acquisition functions direct the hyperparameter space exploration during the optimi
Externí odkaz:
https://doaj.org/article/4dc3a4971f4c4a0399bc191cb5e06478
Publikováno v:
IEEE Access, Vol 8, Pp 30060-30068 (2020)
Metonymy is one of the types of common figurative languages and often used in human conversation without any difficulties. However, metonymy recognition in NLP requires a deep semantic/contextual processing to interpretation because it is highly rela
Externí odkaz:
https://doaj.org/article/6fcb4cd858dd4305b603b4b3844c4335
Publikováno v:
Applied Sciences, Vol 10, Iss 17, p 6052 (2020)
This paper focuses on the domain-specific senses of words and proposes a method for detecting predominant sense depending on each domain. Our Domain-Specific Senses (DSS) model is an unsupervised manner and detects predominant senses in each domain.
Externí odkaz:
https://doaj.org/article/85e1a53fe4474f06ab8e9d3f98817dfd
Publikováno v:
Applied Sciences, Vol 10, Iss 12, p 4144 (2020)
Paraphrase identification has been one of the major topics in Natural Language Processing (NLP). However, how to interpret a diversity of contexts such as lexical and semantic information within a sentence as relevant features is still an open proble
Externí odkaz:
https://doaj.org/article/7f0756872d044e4f995e83aacfe1a254
Autor:
Suzuki, Masyitah Abu, Nik Adilah Hanin Zahri, Amiza Amir, Muhammad Izham Ismail, Azhany Yaakub, Fumiyo Fukumoto, Yoshimi
Publikováno v:
Diagnostics; Volume 13; Issue 11; Pages: 1946
Bayesian optimization (BO) is commonly used to optimize the hyperparameters of transfer learning models to improve the model’s performance significantly. In BO, the acquisition functions direct the hyperparameter space exploration during the optimi
Publikováno v:
Applied Intelligence. 53:8286-8301
Publikováno v:
Computational Linguistics and Intelligent Text Processing ISBN: 9783031243394
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a133ca475b844ec6f99c975cf5a86914
https://doi.org/10.1007/978-3-031-24340-0_34
https://doi.org/10.1007/978-3-031-24340-0_34
Publikováno v:
Neural Information Processing ISBN: 9783031301100
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a7993331641f20c4e92f2fba2c616a79
https://doi.org/10.1007/978-3-031-30111-7_33
https://doi.org/10.1007/978-3-031-30111-7_33
Publikováno v:
IEICE Transactions on Information and Systems. :2379-2388
Publikováno v:
IEEE Access, Vol 8, Pp 30060-30068 (2020)
Metonymy is one of the types of common figurative languages and often used in human conversation without any difficulties. However, metonymy recognition in NLP requires a deep semantic/contextual processing to interpretation because it is highly rela