Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Youhyun Shin"'
Autor:
Youngki Park, Youhyun Shin
Publikováno v:
Mathematics, Vol 12, Iss 19, p 3090 (2024)
Can bi-encoders, without additional fine-tuning, achieve a performance comparable to fine-tuned BERT models in classification tasks? To answer this question, we present a simple yet effective approach to text classification using bi-encoders without
Externí odkaz:
https://doaj.org/article/d119c017b8f4480ca9535ed43557498f
Autor:
Youhyun Shin
Publikováno v:
IEEE Access, Vol 11, Pp 48768-48782 (2023)
In this paper, we propose a Korean abstractive text summarization approach that uses a multi -encoder transformer. Recently, in many natural language processing (NLP) tasks, the use of the pre-trained language models (PLMs) for transfer learning has
Externí odkaz:
https://doaj.org/article/62dac16d50e04494b95557fec5ae58e2
Publikováno v:
Applied Sciences, Vol 13, Iss 24, p 13177 (2023)
Open-domain question answering requires the task of retrieving documents with high relevance to the query from a large-scale corpus. Deep learning-based dense retrieval methods have become the primary approach for finding related documents. Although
Externí odkaz:
https://doaj.org/article/427506565f4b4d24b2d836a715a5c408
Autor:
Youngki Park, Youhyun Shin
Publikováno v:
Mathematics, Vol 11, Iss 22, p 4585 (2023)
In this paper, we present a novel approach to optical character recognition that incorporates various supplementary techniques, including the gradual detection of texts and gradual filtering of inaccurately recognized texts. To minimize false negativ
Externí odkaz:
https://doaj.org/article/30ce04eb7f9e438ba1e018e12a5eb7d6
Autor:
Youngki Park, Youhyun Shin
Publikováno v:
IEEE Access, Vol 10, Pp 128484-128497 (2022)
In this paper, we present a novel approach to teach text processing for primary and secondary school students using a block-based programming language such as Scratch. Our main idea is to have students (1) build “basic building blocks” for text p
Externí odkaz:
https://doaj.org/article/a553a35d638744619be5af4999c33298
Autor:
Youngki Park, Youhyun Shin
Publikováno v:
Applied Sciences, Vol 13, Iss 18, p 10468 (2023)
In this paper, we introduce an efficient approach to multi-label image classification that is particularly suited for scenarios requiring rapid adaptation to new classes with minimal training data. Unlike conventional methods that rely solely on neur
Externí odkaz:
https://doaj.org/article/a792b189aa104378836a2c6e3c94e590
Autor:
Youngki Park, Youhyun Shin
Publikováno v:
Applied Sciences, Vol 13, Iss 9, p 5771 (2023)
This paper presents a novel approach for finding the most semantically similar conversational sentences in Korean and English. Our method involves training separate embedding models for each language and using a hybrid algorithm that selects the appr
Externí odkaz:
https://doaj.org/article/a79d306e0b6c4906ae84da5dc48af63f
Autor:
Youngki Park, Youhyun Shin
Publikováno v:
IEEE Access, Vol 9, Pp 149630-149646 (2021)
Many approaches have been proposed to teach the basic concepts of big data and artificial intelligence to K-12 students based on block-based programming languages, such as Scratch. Using these approaches, young students can easily experience big data
Externí odkaz:
https://doaj.org/article/4161475c523e4e3cbba3faafcc14d04e
Autor:
Youngki Park, Youhyun Shin
Publikováno v:
Applied Sciences, Vol 12, Iss 24, p 13008 (2022)
The existing block-based machine learning educational environments have a drawback in that they do not support model training based on large-scale data. This makes it difficult for young students to learn the importance of large amounts of data when
Externí odkaz:
https://doaj.org/article/33a57c32c5b74329b92c1624423dc4d3
Autor:
Youngki Park, Youhyun Shin
Publikováno v:
Electronics; Volume 11; Issue 16; Pages: 2584
Although Scratch is the most widely used block-based educational programming language, it is not easy for students to create various types of Scratch programs based on real-life data because it does not provide web scraping capabilities. In this pape
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aea0009e5c4a0d58c3a0aa06b1581399