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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

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