Summary
Yoonjung Choi is a Senior Engineer with 12 years of experience specializing in natural language processing, machine translation, and information extraction, currently building NLP solutions at Samsung Electronics in South Korea. She holds a Ph.D. in Computer Science from the University of Pittsburgh and a strong KAIST background, blending deep academic research on sentiment, event (+/-effect) extraction, and word-sense–aware methods with applied industry work in QA systems and semantic search. Her research has produced sense-level lexicons, knowledge-based WSD approaches that avoid sense-tagged training data, and joint models for event and entity identification—capabilities she has translated into production-focused features and experiments at Bosch and KAIST. Comfortable moving between linguistics-informed models and practical engineering, she brings a track record of turning nuanced language understanding problems into robust, deployable systems. An understated strength is her focus on sense-disambiguation and selectional preferences, which enables more precise sentiment and effect inference than surface-level approaches.
12 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at University of Pittsburgh
Master of Science (M.S.), Computer Science, 4.1/4.3, Master of Science (M.S.), Computer Science, 4.1/4.3 at Korea Advanced Institute of Science and Technology
Korean, English