Seminars
Abstract
The availability of large multilingual pre-trained language models has opened up exciting pathways for developing NLP technologies for languages with scarce resources. In this talk I will advocate for the need to go beyond the most common languages in multilingual evaluation, and on the challenges of handling new, unseen-during-training languages and varieties. I will also share some of my experiences with working with indigenous and other endangered language communities and activists.
Biography
Antonios Anastasopoulos is an Assistant Professor in Computer Science at George Mason University. In 2019, Antonis received his PhD in Computer Science from the University of Notre Dame and then worked as a postdoctoral researcher at the Language Technologies Institute at Carnegie Mellon University. His research interests revolve around computational linguistics and natural language processing with a focus on low-resource settings, endangered languages, and cross-lingual learning.
