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Low-Resource Domain Adaptation for Compositional Task-Oriented Semantic Parsing

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AbstractTask-oriented semantic parsing is a critical component of virtual assistants, which is responsible for understanding the user’s intents (set reminder, play music, etc.). Recent advances in deep learning have enabled …...

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A Survey of Data Augmentation Approaches for NLP

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Publication: TIPSTER (2021)

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Data augmentation has recently seen increased interest in NLP due to more work in low- resource domains, new tasks, and the popu- larity of large-scale neural networks that re- quire …...

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Uncertainty Estimation and Reduction of Pre-trained Models for Text Regression

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AbstractState-of-the-art classification and regression models are often not well calibrated, and cannot reliably provide uncertainty estimates, limiting their utility in safety-critical applications such as clinical decision-making. While recent work has …...

26745