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COMPRESSING NEURAL NETWORKS FOR NATURAL LANGUAGE UNDERSTANDING
COMPRESSING NEURAL NETWORKS FOR NATURAL LANGUAGE UNDERSTANDING
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机译:压缩神经网络的自然语言理解
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摘要
A model for a natural language understanding task is generated based on labeled data generated by a labeling model. The model for the natural language understanding task is smaller than the labeling model (i.e., with lower computational and memory requirements than the combined model), but with substantially the same performance as the labeling model. In some cases, the labeling model may be generated based on a large pre-trained model.
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