
提案されたNoise-BERTフレームワークは、ノイズスロット補完タスクにおける入力摂動の課題に対処し、その効果と汎化能力を実証しています。


coremsg

noise-bert-a-unified-perturbation-robust-framework-with-noise-alignment-pre-training-for-noisy-slot-filling-task


NOISE-BERT: A Unified Perturbation-Robust Framework with Noise Alignment Pre-training for Noisy Slot Filling Task


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Noise-BERT is a unified perturbation-robust framework with noise alignment pre-training designed to address input perturbations in slot filling tasks, demonstrating superior performance over existing models.



Noise-BERT: A Unified Perturbation-Robust Framework with Noise Alignment Pre-training for Noisy Slot Filling Task
