SNOiC: Soft Labeling and Noisy Mixup based Open Intent Classification Model

doi:doi:10.57702/wry4xovf

SNOiC: Soft Labeling and Noisy Mixup based Open Intent Classification Model

This paper presents a Soft Labeling and Noisy Mixup-based open intent classification model (SNOiC). Most of the previous works have used threshold-based methods to identify open intents, which are prone to overfitting and may produce biased predictions.

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Aditi Kanwar, Aditi Seetha, Satyendra Singh Chouhan, Rajdeep Niyogi (2024). Dataset: SNOiC: Soft Labeling and Noisy Mixup based Open Intent Classification Model. https://doi.org/10.57702/wry4xovf

DOI retrieved: December 16, 2024

Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Defined In	https://doi.org/10.48550/arXiv.2310.07306
Author	Aditi Kanwar
More Authors	Aditi Seetha Satyendra Singh Chouhan Rajdeep Niyogi