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pro vyhledávání: '"Cho, won"'
Autor:
Yang, Soyoung, Cho, Hojun, Lee, Jiyoung, Yoon, Sohee, Choi, Edward, Choo, Jaegul, Cho, Won Ik
Aspect-based sentiment analysis (ABSA) is the challenging task of extracting sentiment along with its corresponding aspects and opinions from human language. Due to the inherent variability of natural language, aspect and opinion terms can be express
Externí odkaz:
http://arxiv.org/abs/2410.09807
Autor:
Yang, Soyoung, Cho, Won Ik
In the era of rapid evolution of generative language models within the realm of natural language processing, there is an imperative call to revisit and reformulate evaluation methodologies, especially in the domain of aspect-based sentiment analysis
Externí odkaz:
http://arxiv.org/abs/2404.11539
Generative artificial intelligence (AI) and large language models (LLMs) are increasingly being used in the academic writing process. This is despite the current lack of unified framework for reporting the use of machine assistance. In this work, we
Externí odkaz:
http://arxiv.org/abs/2404.09041
Despite the remarkable advances in deep learning technology, achieving satisfactory performance in lung sound classification remains a challenge due to the scarcity of available data. Moreover, the respiratory sound samples are collected from a varie
Externí odkaz:
http://arxiv.org/abs/2312.09603
Academic writing process has benefited from various technological developments over the years including search engines, automatic translators, and editing tools that review grammar and spelling mistakes. They have enabled human writers to become more
Externí odkaz:
http://arxiv.org/abs/2310.04824
Autor:
Bae, Sangmin, Kim, June-Woo, Cho, Won-Yang, Baek, Hyerim, Son, Soyoun, Lee, Byungjo, Ha, Changwan, Tae, Kyongpil, Kim, Sungnyun, Yun, Se-Young
Respiratory sound contains crucial information for the early diagnosis of fatal lung diseases. Since the COVID-19 pandemic, there has been a growing interest in contact-free medical care based on electronic stethoscopes. To this end, cutting-edge dee
Externí odkaz:
http://arxiv.org/abs/2305.14032
Autor:
Cho, Won Ik, Lee, Yoon Kyung, Bae, Seoyeon, Kim, Jihwan, Park, Sangah, Kim, Moosung, Hahn, Sowon, Kim, Nam Soo
Building a natural language dataset requires caution since word semantics is vulnerable to subtle text change or the definition of the annotated concept. Such a tendency can be seen in generative tasks like question-answering and dialogue generation
Externí odkaz:
http://arxiv.org/abs/2304.00350
Autor:
Kim, Kipyo1 (AUTHOR), Cho, Won-Hee1 (AUTHOR), Hwang, Seun Deuk1 (AUTHOR), Lee, Seoung Woo1 (AUTHOR), Song, Joon Ho1 (AUTHOR) jhsong@inha.ac.kr
Publikováno v:
Scientific Reports. 12/30/2024, Vol. 14 Issue 1, p1-9. 9p.
Autor:
Cho, Won-Kyung1 (AUTHOR) chj1901@kiom.re.kr, Choi, Hee-Jeong1 (AUTHOR), Ahmad, Syed Sayeed2,3 (AUTHOR) sayeedahmad4@gmail.com, Choi, Inho2,3 (AUTHOR) inhochoi@ynu.ac.kr, Ma, Jin Yeul1 (AUTHOR) wkcho@kiom.re.kr
Publikováno v:
International Journal of Molecular Sciences. Nov2024, Vol. 25 Issue 22, p12426. 11p.
Publikováno v:
In Applied Surface Science 15 January 2025 679