Assistant Professor, Department of Computer Science
Director of the Emory NLP Research Lab
Ph.D. in Computer Science and Cognitive Science (joint degree), University of Colorado Boulder, 2012
Office: Mathematics and Science Center E414
Dr. Choi is an assistant professor in the Department of Computer Science, the Institute of Quantitative Theory and Methods, and the Program of Linguistics at Emory University. He obtained a B.A. in Computer Science and Mathematics (dual degree) from Coe College in 2002, a M.S.E. in Computer and Information Science from the University of Pennsylvania in 2003 with Mitchell Marcus, a Ph.D. in Computer Science and Cognitive Science (joint degree) from the University of Colorado Boulder in 2012 with Martha Palmer, and did his postdoctoral work at the University of Massachusetts Amherstin 2014 with Andrew McCallum. He was a full-time lecturer in the Department of Computer Science at the Korea Military Academy from 2004 to 2007 while he was serving his military duty in South Korea. He was a R&D team lead of the Amelia project, the next generation machine reading system developed at IPsoft Inc. He is the founder of the Natural Language Processing Research lab at Emory University.
Jinho Choi has been active in research on natural language processing; especially, on the optimization of low-level NLP (e.g., dependency parsing, named entity recognition, sentiment analysis) for robustness on various data and scalability on large data. He has developed an open source project called NLP4J, providing NLP components with state-of-the-art accuracy and speed, which has been widely used for both academic and industrial research. His current research focuses on the development of NLP components for different domains (e.g., social media, radiology reports, dialogs) and the applications of these NLP components for end-user systems such as question-answering, character mining, text generation, etc. He is also interested in interdisciplinary research where NLP can enhance researches in other areas.
- Establishing Strong Baselines for the New Decade: Sequence Tagging, Syntactic and Semantic Parsing with BERT. He, H.; and Choi, J. D. Technical Report 1908.04943, arXiv, 2019.
- FriendsQA: Open-Domain Question Answering on TV Show Transcripts. Yang, Z.; and Choi, J. D. In Proceedings of the Annual Conference of the ACL Special Interest Group on Discourse and Dialogue, of SIGDIAL'19, 2019.
- Meta-Semantic Representation for Early Detection of Alzheimer's Disease. Choi, J. D.; Li, M.; Goldstein, F.; and Hajjar, I. In Proceedings of the ACL Workshop on Designing Meaning Representations, of DMR'19, 2019.
- The Pupil Has Become the Master: Teacher-Student Model-Based Word Embedding Distillation with Ensemble Learning. Shin, B.; Yang, H.; and Choi, J. D. In Proceedings of the 28th International Joint Conference on Artificial Intelligence, of IJCAI'19, 2019.
- Multimodal Ensemble Approach to Incorporate Various Types of Clinical Notes for Predicting Readmission. Shin, B.; Hogan, J.; Adams, A. B.; Lynch, R. J.; Patzer, R. E.; and Choi, J. D. In Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, of BHI'19, 2019.
Courses taught in Linguistics
LING 329 Computational Lingusitics (same as CS 329 and QTM 329)