Freda Shi is an Assistant Professor in the David R. Cheriton School of Computer Science at the University of Waterloo and a Faculty Member at the Vector Institute. Shi’s research interests are in computational linguistics, natural language processing, and cognitive science, as well as related aspects of machine learning. Shi received her Ph.D. in Computer Science from the Toyota Technological Institute at Chicago, and her B.S. in Intelligence Science from Peking University.
Assistant Professor, David R. Cheriton School of Computer Science, University of Waterloo
Canada CIFAR Artificial Intelligence Chair
Research Interests
- Computational Linguistics
- Natural Language Processing
- Cognitive Science
- Machine Learning
Highlights
- Nominations for the Best Paper Award, ACL (2019, 2021, 2024)
- Highlighted Reviewer, ICLR 2022
- Google PhD Fellowship, 2021-2024
- Finalist, Facebook PhD Fellowship, 2021
Publications
Gated slot attention for efficient linear-time sequence modeling
2024
Do Vision-Language Models Represent Space and How? Evaluating Spatial Frame of Reference Under Ambiguities
2024
LogogramNLP: Comparing Visual and Textual Representations of Ancient Logographic Writing Systems for NLP
2024
Structured Tree Alignment for Evaluation of (Speech) Constituency Parsing
2024