
Sky CH-Wang
PhD Candidate @ Columbia University
named entity recognition
large language models
affective computing
resources and evaluation
gentrification
social norms
music psychology
text as data
critical toponymy
6
presentations
16
number of views
SHORT BIO
Sky is a PhD student in Computer Science at Columbia University, advised by Zhou Yu and Smaranda Muresan. His research primarily revolves around Natural Language Processing (NLP).
He is broadly interested in the area where NLP meets Computational Social Science (CSS): in designing and leveraging computational methods to understand social aspects of language; in studying social phenomena—often at large scale—through what people say and how they say it; and in incorporating such insights into creating more social and more equitable language technologies. He has previously interned at Amazon AWS AI, Microsoft Research, NASA Earth Sciences, Azure IoT, and at the University of Michigan (NSF REU). His research is supported by an NSF Graduate Research Fellowship.
Presentations

Toward a Critical Toponymy Framework for Named Entity Recognition: A Case Study of Airbnb in New York City
Mikael Brunila and 5 other authors

NormDial: A Comparable Bilingual Synthetic Dialog Dataset for Modeling Social Norm Adherence and Violation
Oliver Li and 4 other authors

Affective Idiosyncratic Responses to Music
Sky CH-Wang and 4 other authors

MindCraft: Theory of Mind Modeling for Situated Dialogue in Collaborative Tasks
Cristian-Paul Bara and 2 other authors

MindCraft: Theory of Mind Modeling for Situated Dialogue in Collaborative Tasks
Cristian-Paul Bara and 2 other authors

MindCraft: Theory of Mind Modeling for Situated Dialogue in Collaborative Tasks
Cristian-Paul Bara and 2 other authors