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Dynamic routing with unsupervised learning. Perform deep-kmeans algorithm to generate groupings for LSTM thought-vectors, then use cluster assignment to dynamically route to language model. The language model uses topic-rnn-like algorithm to upweight and downweight words in the vocabulary.