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Model Compression with Multi-Task Knowledge Distillation for Web-scale Question Answering System.

arXiv: Computation and Language, (2019)

Cited by: 4|Views26
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Abstract

Deep pre-training and fine-tuning models (like BERT, OpenAI GPT) have demonstrated excellent results in question answering areas. However, due to the sheer amount of model parameters, the inference speed of these models is very slow. How to apply these complex models to real business scenarios becomes a challenging but practical problem. ...More

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