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Computer Science Department Colloquium Towards Inclusive and Equitable Language Technologies
× Export Event Save iCal Send to Google Calendar Send to Yahoo Calendar Send to Outlook Live Send to Microsoft Outlook Save iCal Preserve formatting in description (only supported in some calendar applications) Close Wednesday, March 22, 2023, 10:30am - 11:30am

Speaker: Malihe Alikhani

Bio

Malihe Alikhani is an Assistant Professor of computer science in the School of Computing and Information at the University of Pittsburgh. She earned her Ph.D. in computer science with a graduate certificate in cognitive science from Rutgers University in 2020 under the supervision of Prof. Matthew Stone. Her research interests center on using representations of communicative structure, machine learning, and cognitive science to design equitable and inclusive NLP systems for critical applications such as education, health, and social justice. Her work has received multiple best paper awards at ACL 2021, UAI2022, INLG2021, and UMAP2022 and has been supported by DARPA, NIH, Google, and Amazon.

Location : CBIM 22

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Event Type: Computer Science Department Colloquium

Abstract: With the increasing deployment of language technologies to users, the need for a deeper understanding of the impact of natural language processing models on our society and user behaviors has grown. Designing culturally responsible, equitable, and inclusive language technologies that can benefit a diverse population is ever more important. Toward this goal, I present two directions: 1) Discourse-aware models for more inclusive social media moderation methods, and 2) Equitable machine learning frameworks for multimodal communication. Finally, I describe my research vision: building inclusive and collaborative communicative systems by leveraging the cognitive science of language use alongside formal machine learning methods.

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Contact  Matthew Stone