Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Yuna Hur"'
Publikováno v:
IEEE Access, Vol 9, Pp 64510-64523 (2021)
Reasoning, a trait of cognitive intelligence, is regarded as a crucial ability that distinguishes humans from other species. However, neural networks now pose a challenge to this human ability. Text-to-image synthesis is a class of vision and linguis
Externí odkaz:
https://doaj.org/article/65ae7a5071a244538744f902c6749d1d
Publikováno v:
Applied Sciences, Vol 12, Iss 23, p 12438 (2022)
Since understanding a user’s request has become a critical task for the artificial intelligence speakers, capturing intents and finding correct slots along with corresponding slot value is significant. Despite various studies concentrating on a rea
Externí odkaz:
https://doaj.org/article/fb666fefd9ac4df7a312339a64ece8b4
Publikováno v:
Applied Sciences, Vol 11, Iss 23, p 11472 (2021)
Relation Extraction (RE) aims to predict the correct relation between two entities from the given sentence. To obtain the proper relation in Relation Extraction (RE), it is significant to comprehend the precise meaning of the two entities as well as
Externí odkaz:
https://doaj.org/article/c5f29d8cf85542fbb11c936d95f6d9e1
Publikováno v:
Applied Sciences, Vol 11, Iss 2, p 725 (2021)
In this paper, we show that parameters of a neural network can have redundancy in their ranks, both theoretically and empirically. When viewed as a function from one space to another, neural networks can exhibit feature correlation and slower trainin
Externí odkaz:
https://doaj.org/article/231a9c0f70e94063b2b2ef1c4004b9d0
Autor:
Yuna Hur, Jaechoon Jo
Publikováno v:
Mathematics, Vol 9, Iss 3, p 238 (2021)
A significant amount of digital cultural contents is shared online, but learners do not know where subject matter content is or how to find it. Therefore, there is a need for a service to improve educational quality by effectively providing relevant
Externí odkaz:
https://doaj.org/article/d6f61d98f52c4e8794303f9dea28e828
Publikováno v:
Applied Sciences, Vol 10, Iss 3, p 1181 (2020)
In an age overflowing with information, the task of converting unstructured data into structured data are a vital task of great need. Currently, most relation extraction modules are more focused on the extraction of local mention-level relations—us
Externí odkaz:
https://doaj.org/article/bab8d4eb12c341e5a96030b5d1e27210
Publikováno v:
Applied Sciences
Volume 11
Issue 2
Applied Sciences, Vol 11, Iss 725, p 725 (2021)
Volume 11
Issue 2
Applied Sciences, Vol 11, Iss 725, p 725 (2021)
In this paper, we show that parameters of a neural network can have redundancy in their ranks, both theoretically and empirically. When viewed as a function from one space to another, neural networks can exhibit feature correlation and slower trainin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f3a52ea686be230ec203b951990555c2
Autor:
Yoonna Jang, Jungwoo Lim, Yuna Hur, Dongsuk Oh, Suhyune Son, Yeonsoo Lee, Donghoon Shin, Seungryong Kim, Heuiseok Lim
Humans usually have conversations by making use of prior knowledge about a topic and background information of the people whom they are talking to. However, existing conversational agents and datasets do not consider such comprehensive information, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9988c76d8c298b7e1eaec61430c36320
Publikováno v:
Applied Sciences
Volume 10
Issue 3
Applied Sciences, Vol 10, Iss 3, p 1181 (2020)
Volume 10
Issue 3
Applied Sciences, Vol 10, Iss 3, p 1181 (2020)
In an age overflowing with information, the task of converting unstructured data into structured data are a vital task of great need. Currently, most relation extraction modules are more focused on the extraction of local mention-level relations&mdas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c4291b93201cf7c605d32becc59919d6
https://doi.org/10.3390/app10031181
https://doi.org/10.3390/app10031181