Natural Language Processing with Small Feed-Forward Networks

نویسندگان

  • Jan A. Botha
  • Emily Pitler
  • Ji Ma
  • Anton Bakalov
  • Alex Salcianu
  • David Weiss
  • Ryan T. McDonald
  • Slav Petrov
چکیده

We show that small and shallow feedforward neural networks can achieve near state-of-the-art results on a range of unstructured and structured language processing tasks while being considerably cheaper in memory and computational requirements than deep recurrent models. Motivated by resource-constrained environments like mobile phones, we showcase simple techniques for obtaining such small neural network models, and investigate different tradeoffs when deciding how to allocate a small memory budget.

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تاریخ انتشار 2017