PhD Defense: Transfer Learning in Natural Language Processing through Interactive Feedback
Michelle Yuan is a PhD candidate in the Computer Science Department at the University of Maryland. She is advised by Jordan Boyd-Graber and a member of the Computational Linguistics and Information Processing (CLIP) Lab. Over these years, she also has closely collaborated with Benjamin Van Durme and others at the Human Language Technology Center of Excellence (HLTCOE). Her research focuses on designing user annotation and feedback frameworks to improve transfer of NLP models.
This talk is organized by Tom Hurst