About
Appointed Canada CIFAR AI Chair – 2024
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.
Her research interests are in computational linguistics and natural language processing. She works towards deeper understandings of natural language and the human language processing mechanism, as well as how these insights can inform the design of more efficient and effective AI systems.
Awards
- Best Paper Nomination, Association of Computational Linguistics 2019, 2021, 2024
- Thesis of Distinction, Toyota Technological Institute at Chicago, 2024
- Google PhD Fellowship, Google Inc., 2021
Relevant Publications
- Chen, D., Shi, F., Agarwal, A., Myerston, J., & Berg-Kirkpatrick, T. (2024). LogogramNLP: Comparing Visual and Textual Representations of Ancient Logographic Writing Systems for NLP. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (pp. 14238-14254).
- Shi, F., Suzgun, M., Freitag, M., Wang, X., Srivats, S., Vosoughi, S., ... & Wei, J. (2023). Language models are multilingual chain-of-thought reasoners. In The Eleventh International Conference on Learning Representations.
- Shi, F., Chen, X., Misra, K., Scales, N., Dohan, D., Chi, E. H., ... & Zhou, D. (2023). Large language models can be easily distracted by irrelevant context. In International Conference on Machine Learning (pp. 31210-31227). PMLR.
- Shi, H., Zettlemoyer, L., & Wang, S. I. (2021). Bilingual Lexicon Induction via Unsupervised Bitext Construction and Word Alignment. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) (pp. 813-826).
- Shi, H., Mao, J., Gimpel, K., & Livescu, K. (2019). Visually Grounded Neural Syntax Acquisition. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (pp. 1842-1861).