2019

Model Compression with Two-stage Multi-teacher Knowledge Distillation for Web Question Answering System

Yang, Ze, Shou, Linjun, Gong, Ming et al.

Understand

Deep pre-training and fine-tuning models (such as BERT and 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.
  • Previous model compression methods usually suffer from information loss during the model compression procedure, leading to inferior models compared with the original one.

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