I work in the Text Analytics group on NLP and machine learning research. A large part of my research focuses on NLP for healthcare, particularly the detection of early signs of cognitive impairment from speech and language features. I am also active in the area of ethical AI, including explainability and bias detection. See below for more detail on my active research projects.
Post-doc opportunity!Work with me and my collaborators at Carleton on using AI to improve services for students with disabilities: Job Posting
Algorithms to automatically detect speech and language markers of cognitive or mental state.
Stereotyping and Bias
Examining subtle forms of offensive language, such as stereotyping, in social media text.
Different frameworks for understanding why a machine learning model made the decision it did.
Fraser, Kiritchenko, & Nejadgholi (2022)
Fraser, Kiritchenko,& Balkir (2022)
Balkir, Nejadgholi, Fraser, & Kiritchenko (2022)
Kiritchenko, Nejadgholi, & Fraser (2021)
Fraser & Komeili (2021)
Fraser, Lundholm Fors, Eckerström, Öhman, & Kokkinakis (2019)
How do we feel when a robot dies? Emotions expressed on Twitter before and after hitchBOT’s destruction
Fraser, Zeller, Smith, Mohammad, & Rudzicz (2019)
Multilingual Prediction of Alzheimer’s Disease Through Domain Adaptation and Concept-Based Language Modelling
Fraser et al. (2019)
Fraser, Lundholm Fors, Kokkinakis, & Nordlund (2017)