Papers with Context-dependent Additive Recurrent Neural Network

1 papers
The Context-Dependent Additive Recurrent Neural Net (N18-1)

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Challenge: Contextual sequence mapping is one of the fundamental problems in Natural Language Processing (NLP).
Approach: They propose a new family of Recurrent Neural Networks that address contextual sequence mapping . they propose to use contextual signals to control the flow of information .
Outcome: The proposed architecture outperforms existing methods on dialog problem and language model . the proposed architectures are based on a novel family of recurrent neural networks .

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