Michelle Yuan

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 9

Top Topics

Language Modeling

Data Sparseness

Top Venues

Publications

Ishani Mondal, Michelle Yuan, Anandhavelu Natarajan, Aparna Garimella, Francis Ferraro, Andrew Blair-Stanek, Benjamin Van Durme, Jordan L. Boyd-Graber
InteractiveIE: Towards Assessing the Strength of Human-AI Collaboration in Improving the Performance of Information Extraction. CoRR (2023)
Samuel Barham, Orion Weller, Michelle Yuan, Kenton Murray, Mahsa Yarmohammadi, Zhengping Jiang, Siddharth Vashishtha, Alexander Martin, Anqi Liu, Aaron Steven White, Jordan L. Boyd-Graber, Benjamin Van Durme
MegaWika: Millions of reports and their sources across 50 diverse languages. CoRR (2023)
Michelle Yuan, Patrick Xia, Chandler May, Benjamin Van Durme, Jordan L. Boyd-Graber
Adapting Coreference Resolution Models through Active Learning. ACL (1) (2022)
Michelle Yuan, Patrick Xia, Benjamin Van Durme, Jordan L. Boyd-Graber
Adaptive Active Learning for Coreference Resolution. CoRR (2021)
Michelle Yuan, Hsuan-Tien Lin, Jordan L. Boyd-Graber
Cold-start Active Learning through Self-supervised Language Modeling. CoRR (2020)
Michelle Yuan, Mozhi Zhang, Benjamin Van Durme, Leah Findlater, Jordan L. Boyd-Graber
Interactive Refinement of Cross-Lingual Word Embeddings. EMNLP (1) (2020)
Michelle Yuan, Hsuan-Tien Lin, Jordan L. Boyd-Graber
Cold-start Active Learning through Self-supervised Language Modeling. EMNLP (1) (2020)
Michelle Yuan, Mozhi Zhang, Benjamin Van Durme, Leah Findlater, Jordan L. Boyd-Graber
Interactive Refinement of Cross-Lingual Word Embeddings. CoRR (2019)
Michelle Yuan, Benjamin Van Durme, Jordan L. Ying
Multilingual Anchoring: Interactive Topic Modeling and Alignment Across Languages. NeurIPS (2018)