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Hybrid Uncertainty Quantification for Selective Text Classification in Ambiguous Tasks

Artem Vazhentsev, Gleb Kuzmin, Akim Tsvigun, Alexander Panchenko, Maxim S. Panov, Mikhail Burtsev, Artem Shelmanov

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Abstract

Artem Vazhentsev, Gleb Kuzmin, Akim Tsvigun, Alexander Panchenko, Maxim Panov, Mikhail Burtsev, Artem Shelmanov. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2023.

Topics & Concepts

MaximComputer scienceComputational linguisticsNatural language processingArtificial intelligenceLinguisticsSpeech recognitionPhilosophyEpistemologyTopic ModelingHate Speech and Cyberbullying DetectionAdversarial Robustness in Machine Learning
Hybrid Uncertainty Quantification for Selective Text Classification in Ambiguous Tasks | Litcius