Emory-Yonsei Collaboration

This collaborative project between Emory NLP and Yonsei Deep Text aims to investigate crosslingual embedding approaches between Korean and English, along with exploring coreference resolution in the context of fantasy literature.

• Duration: 01/2020 ~ 08/2021

Directors

• Jinho Choi - Assistant Professor of Computer Science, Emory University
• Min Song -  Professor of Information Science, Yonsei University

Publications

• Analysis of Zero-Shot Crosslingual Learning between English and Korean for Named Entity Recognition. Kim, J.; Choi, N.; Lim, S.; Kim, J.; Chung, S.; Woo, H.; Song, M.; and Choi; Jinho D. Proceedings of the EMNLP Workshop on Multilingual Representation Learning (MRL), 2021.
  
• FantasyCoref: Coreference Resolution on Fantasy LiteratureThrough Omniscient Writer’s Point of View. Han, S.; Seo, S.; Kang, M.; Kim, J.; Choi, N.; Song, M.; and Choi, J. D. roceedings of the EMNLP Workshop on Computational Models of Reference, Anaphora and Coreference (CRAC), 2021.

Members

Jinho Choi Emory University Assistant Professor of Computer Science	Min Song Yonsei University Professor of Information Science	Nayoung Choi Yonsei University MS Student in Data Analytics (01/2021 ~ 08/2021)	Sooyoun Han Yonsei University MS Student in Data Analytics (01/2021 ~ 08/2021)
Jongin Kim Yonsei University MS Student in Data Analytics (01/2021 ~ 08/2021)	Sumin Seo Yonsei University MS Student in Data Analytics (01/2021 ~ 08/2021)	Minji Kang Yonsei University MS Student in Data Analytics (04/2021 ~ 08/2021)	Seunghyun Lim Emory University BS Student in Computer Science (01/2020 ~ 08/2020)
Soojin Chung Yonsei University MS Student in Data Analytics (01/2020 ~ 08/2020)	Jungwhan Kim Yonsei University MS Student in Data Analytics (01/2020 ~ 08/2020)	Hyunsoo Woo Yonsei University MS Student in Data Analytics (01/2020 ~ 08/2020)