I am a Ph.D. candidate in Computer Science at the University of Maryland. My research focuses on problems in natural language processing and machine learning. I am advised by
Jordan Boyd-Graber and belong to the
CLIP lab. I have also worked with Benjamin Van Durme from Johns Hopkins and Hsuan-Tien Lin from NTU.
I am interested in the intersection of transfer learning and interactive learning.
How can we adapt NLP models for new domains, languages, and tasks through human feedback?
How do we design algorithms and interfaces to easily bring a human into the loop?
Outside of computer science research, I am an avid mountain climber. I grew up climbing mountains with my mom and will continue to pursue this passion. I also really enjoy
playing the piano.
Fun fact: I have an
Erdös number of 3.
Publications
- Michelle Yuan, Patrick Xia, Chandler May, Benjamin Van Durme, and Jordan Boyd-Graber. Adapting Coreference Resolution Models through Active Learning. Association for Computational Linguistics (long), Oral Presentation, 2022.
[arxiv]
[code]
[video]
- Michelle Yuan, Hsuan-Tien Lin, and Jordan Boyd-Graber. Cold-start Active Learning through Self-Supervised Language Modeling. Empirical Methods of Natural Language Processing (long), 2020.
[paper]
[arxiv]
[code]
[video]
- Michelle Yuan, Mozhi Zhang, Benjamin Van Durme, Leah Findlater, and Jordan Boyd-Graber. Interactive Refinement of Cross-Lingual Word Embeddings. Empirical Methods of Natural Language Processing (long), 2020.
[paper]
[arxiv]
[code]
[video]
- Michelle Yuan, Benjamin Van Durme, and Jordan Boyd-Graber. Multilingual Anchoring: Interactive Topic Modeling and Alignment Across Languages. Neural Information Processing Systems, 2018.
[paper]
[pdf]
[code]
[video]
Contact
Email:
Address: Iribe Center,
8125 Paint Branch Dr,
College Park, MD, 20740
Last updated:
Website design: Michelle Yuan
Photography: Michelle Yuan