This project focuses on advancing the field of multilingual and cross-lingual Natural Language Processing (NLP). It aims to develop innovative techniques and models that can effectively process and understand multiple languages, as well as transfer knowledge across different languages. The research encompasses various NLP tasks such as entity recognition, structure parsing, question answering, and language inference in multilingual contexts. By enhancing these capabilities, the project seeks to break down language barriers in AI applications, improve global communication, and enable more inclusive technology solutions for diverse linguistic communities.
Director
- Jinho Choi - Associate Professor at Emory University
Related Projects
Publications
- Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-Sentence Dependency Graph. Xu, L.; Zhang, X.; Zong, B.; Liu, Y.; Cheng, W.; Ni, J.; Chen, H.; Zhao, L.; and Choi, J. D. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2022.
- 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.
- Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation. Xu, L.; Zhang, X.; Zhao, X.; Chen, H.; Chen, F.; and Choi, J. D. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021.
- Analysis of the Penn Korean Universal Dependency Treebank (PKT-UD): Manual Revision to Build Robust Parsing Model in Korean. Oh, H.; Han, J. Y.; Choe, H.; Park, S.; He, H.; Choi, J. D.; Han, N.; Hwang, J. D.; and Kim, H. Proceedings of the International Conference on Parsing Technologies (IWPT), 2020.
- Coordinate Structures in Universal Dependencies for Head-final Languages. Kanayama, H.; Han, N.; Asahara, M.; Hwang, J. D.; Miyao, Y.; Choi, J. D.; and Matsumoto, Y. Proceedings of the EMNLP Workshop on Universal Dependencies (UDW), 2018.
- Building Universal Dependency Treebanks in Korean. Chun, J.; Han, N.; Hwang, J. D.; and Choi, J. D. Proceedings of the International Conference on Language Resources and Evaluation (LREC), 2018.