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pro vyhledávání: '"Cho, Hojun"'
This paper explores integrating Automatic Speech Recognition (ASR) into natural language query systems to improve weather forecasting efficiency for Korean meteorologists. We address challenges in developing ASR systems for the Korean weather domain,
Externí odkaz:
http://arxiv.org/abs/2410.18444
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:
Lee, Minsoo, Chung, Chaeyeon, Cho, Hojun, Kim, Minjung, Jung, Sanghun, Choo, Jaegul, Sung, Minhyuk
While NeRF-based 3D-aware image generation methods enable viewpoint control, limitations still remain to be adopted to various 3D applications. Due to their view-dependent and light-entangled volume representation, the 3D geometry presents unrealisti
Externí odkaz:
http://arxiv.org/abs/2203.06457