no code implementations • WMT (EMNLP) 2021 • Shinhyeok Oh, Sion Jang, Hu Xu, Shounan An, Insoo Oh
As experimental results show, our APE system significantly improves the translations of provided MT results by -2. 848 and +3. 74 on the development dataset in terms of TER and BLEU, respectively.
no code implementations • 18 Jul 2023 • Jaeyoung Kim, Kyuheon Jung, Dongbin Na, Sion Jang, Eunbin Park, Sungchul Choi
The surrogate OOD sample introduced by POE shows a similar representation to ID data, which is most effective in training a rejection network.
no code implementations • 14 Sep 2021 • Shinhyeok Oh, Sion Jang, Hu Xu, Shounan An, Insoo Oh
As experimental results show, our APE system significantly improves the translations of provided MT results by -2. 848 and +3. 74 on the development dataset in terms of TER and BLEU, respectively.
no code implementations • 21 Oct 2020 • Jaewoong Choi, Sion Jang, Jaeyoung Kim, Jiho Lee, Janghyeok Yoona, Sungchul Choi
In this study, we address the challenges in developing a deep learning-based automatic patent citation recommendation system.
1 code implementation • 15 Mar 2019 • Chanwoo Jeong, Sion Jang, Hyuna Shin, Eunjeong Park, Sungchul Choi
Many researchers have utilized the text data called the context sentence, which surrounds the citation tag, and the metadata of the target paper to find the appropriate cited research.
no code implementations • 12 Aug 2018 • Jaeyoung Kim, Sion Jang, Sungchul Choi, Eunjeong Park
This paper presents an empirical exploration of the use of capsule networks for text classification.