Jinha Hwang

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2023

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Uncertainty Quantification of Text Classification in a Multi-Label Setting for Risk-Sensitive Systems
Jinha Hwang | Carol Gudumotu | Benyamin Ahmadnia
Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing

This paper addresses the challenge of uncertainty quantification in text classification for medical purposes and provides a three-fold approach to support robust and trustworthy decision-making by medical practitioners. Also, we address the challenge of imbalanced datasets in the medical domain by utilizing the Mondrian Conformal Predictor with a Naïve Bayes classifier.
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