Yeaeun Kwon
Hello. I am a first-year Ph.D. student in Information Science at the University of Arizona. My research interests lie in Computational Social Science. Specifically, my research focuses on human and human interactions, social biases, and dynamics on social media by employing NLP techniques. Prior to my doctoral studies, I researched string pattern matching algorithms for my master's thesis, comparing short and long-term data. I received an MS in Computer Engineering from Korea Aerospace University and a BA in Economics from Hongik University.
Publications
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CLULab-UofA at SemEVal-2024 Task 8: Detecting Machine-Generated Text Using Triplet-Loss-Trained Text Similarity and Text Classification [Poster]
Mohammadhossein Rezaei, Yeaeun Kwon, Reza Sanayei, Abhyuday Singh, Steven Bethard
Proceedings of the Fourteenth Workshop on Semantic Evaluation 2024
Ongoing Projects
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Peitho Project - International Influence in Science
The goal of the grant is to study international influence in science and what is researched on the science of influence. It’s funded through the US Department of Defense through the US Army/West Point (Army military academy). I am focusing on measuring influence between countries across time windows, using text embeddings and similarity.
PI - Prof.Charles Gomez from University of Arizona