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Explore the social applications of pre-trained language models in this insightful talk by Anjalie Field from Stanford University. Delve into automated approaches for investigating critical social issues such as stereotypes, prejudice, and propaganda in text. Gain valuable insights on the societal impacts of Natural Language Processing (NLP) technology. Learn about Field's research in social-oriented NLP and her work with Professors Dan Jurafsky and Jennifer Eberhardt at Stanford Data Science. Discover how pre-trained language models can be leveraged to address important social challenges and understand their implications in the field of computer science and linguistics. This 56-minute presentation, part of the CSCI 601.771: Self-supervised Statistical Models course at Johns Hopkins University, offers a comprehensive look at the intersection of NLP and social sciences.
