Measuring Depictions and Expressions of Social Groups with Natural Language Processing

This talk by PhD student Lucy Li covers work at the intersection of NLP and computational social science across three domains: machine-generated narratives, online discussion forums, and scientific literature.

Within the first two domains, computational methods are used to characterize how gendered social groups are depicted, while in the third, I analyze how language expressed by scholarly researchers can vary across audiences and fields.

Lucy Li is a PhD student at the University of California, Berkeley, working on natural language processing (NLP), computational social science, cultural analytics, and AI fairness. She researches how social groups are discussed and represented in language models and textual data, such as textbooks, fiction, and online forums. She is supported by a NSF Graduate Research Fellowship, and has interned at Microsoft Research and the Allen Institute for AI.

Programme

11:00 - 11:15 Walk in
11:15 - 12:30 Keynote + Discussion
12:30 - 13:30 Lunch & Mingle

Organisation

This event is organised by Federico Pianzola, Assistant Professor in Computational Humanities at the University of Groningen.

Registration

Please register before January 23.