Revisiting the Hierarchical Multiscale LSTM

COLING 2018 Ákos KádárMarc-Alexandre CôtéGrzegorz ChrupałaAfra Alishahi

Hierarchical Multiscale LSTM (Chung et al., 2016a) is a state-of-the-art language model that learns interpretable structure from character-level input. Such models can provide fertile ground for (cognitive) computational linguistics studies... (read more)

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