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Explore generalization in natural language processing through this comprehensive lecture by Alane Suhr from the University of California, Berkeley. Gain insights into the historical and current approaches to generalization in NLP, understanding the field's motivations and working assumptions. Discover how perspectives on building and evaluating NLP systems have evolved over time, and what types of generalization are considered reasonable for these systems. Delve into the concept of generalization in natural language itself, examining how language users adapt and generalize. Conclude by considering the implications of these insights for the development of future language technologies. This talk, part of the Modern Paradigms in Generalization Boot Camp at the Simons Institute, offers a comprehensive exploration of generalization in NLP, from theoretical foundations to practical applications.
