I am an applied scientist at Amazon Alexa AI.
Before that, I received a Ph.D in Statistics at Univeristy of Pittsburgh, a Master in Statistics at University of California Berkeley, and a Bachelor in Management Science at KAIST.
Prior to the graduate study, I worked as a data scientist at Korea Credit Bureau (KCB) for 5+ years.
My main research interest is to quantify the uncertainty in context of Natural Language Processing (NLP). I am also broadly interested in ML/DL applications on NLP problems.
2023
Cluster-Guided Label Generation in Extreme Multi-Label Classification
Taehee Jung , Joo-Kyung Kim, Sungjin Lee, Dongyeop Kang
EACL |
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2022
Quantifying Uncertainty in context of Natural Language Processing
Taehee Jung
Committees: Lucas Mentch, Yu Cheng, Kehui Chen, Meredith Wallace
PhD Dissertation |
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2020
Posterior Calibrated Training on Sentence Classification Tasks
Taehee Jung , Dongyeop Kang, Hua cheng, Lucas Mentch, Thomas Schaaf
ACL |
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Code
2019
Earlier Isn't Always Better: Sub-aspect Analysis on Corpus and System Biases in Summarization
Taehee Jung*, Dongyeop Kang*, Lucas Mentch, Eduard Hovy (*equal contribution)
EMNLP |
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