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material ID: multiclassdatasets

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Data Augmentation for Multiclass Utterance Classification – A Systematic Study

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AbstractUtterance classification is a key component in many conversational systems. However, classifying real-world user utterances is challenging, as people may express their ideas and thoughts in manifold ways, and the …...

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Triple-Hybrid Energy-based Model Makes Better Calibrated Natural Language Understanding Models

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AbstractThough pre-trained language models achieve notable success in many applications, it’s usually controversial for over-confident predictions. Specifically, the in-distribution (ID) miscalibration and out-of-distribution (OOD) detection are main concerns. Recently, some …...

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