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Yulia Tsvetkov

Assistant Professor, Paul G. Allen School for Computer Science & Engineering


Yulia Tsvetkov

Research focus
Natural language processing (NLP), machine learning, computational social science, computational ethics


Ph.D. Computer Science, Carnegie Mellon University, 2016
M.Sc. Computer Science, University of Haifa, Israel, 2010
B.Sc. Computer Science and Education, Israel Institute of Technology, 2005

Yulia Tsvetkov joined the Allen School this summer. She was most recently an assistant professor at Carnegie Mellon’s Language Technologies Institute where her research focused on multilingual and low-resource natural language processing; language generation with applications to machine translation, summarization, and dialogue; interpretability of deep learning models; and NLP for social good. Prior to that, Tsvetkov was a postdoc at Stanford.

By combining machine learning with theoretical and social linguistics, Tsvetkov's research has a unified goal: to extend the capabilities of human language technology beyond individual populations and across language boundaries, thereby enabling NLP for diverse and disadvantaged users. She has used natural language processing to identify microaggressions and discrimation online, social bias in NLP models, misinformation and propaganda, as well as developed new approaches to combating pernicious biases. Her work has received funding from New America to create open-source, open-access blueprints for coursework in policy innovation and socially responsible language technologies to advance public interest technology and ethical AI. Tsvetkov is a recipient of the Okawa Research Award, Amazon Machine Learning Research Award, Google Faculty Research Award, and multiple NSF awards.