Attention-based Memory Selection Recurrent Network for Language Modeling

26 Nov 2016 Da-Rong Liu Shun-Po Chuang Hung-Yi Lee

Recurrent neural networks (RNNs) have achieved great success in language modeling. However, since the RNNs have fixed size of memory, their memory cannot store all the information about the words it have seen before in the sentence, and thus the useful long-term information may be ignored when predicting the next words... (read more)

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