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Showing 2017 · cs.CLShow all
2 papers · 2 filters
cs.CL2017
Input-to-Output Gate to Improve RNN Language Models
Sho Takase, Jun Suzuki, Masaaki Nagata
This paper proposes a reinforcing method that refines the output layers of existing Recurrent Neural Network (RNN) language models. We refer to our proposed method as Input-to-Outp…
cs.CL2017★ 3 cited
Reading Comprehension using Entity-based Memory Network
Xun Wang, Katsuhito Sudoh, Masaaki Nagata +3
This paper introduces a novel neural network model for question answering, the \emph{entity-based memory network}. It enhances neural networks' ability of representing and calculat…