Recurrent Neural Networks as Weighted Language Recognizers

NAACL 2018 Yining ChenSorcha GilroyAndreas MalettiJonathan MayKevin Knight

We investigate the computational complexity of various problems for simple recurrent neural networks (RNNs) as formal models for recognizing weighted languages. We focus on the single-layer, ReLU-activation, rational-weight RNNs with softmax, which are commonly used in natural language processing applications... (read more)

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