Neural Random Projections for Language Modelling

ICLR 2019 Davide NunesLuis Antunes

Neural network-based language models deal with data sparsity problems by mapping the large discrete space of words into a smaller continuous space of real-valued vectors. By learning distributed vector representations for words, each training sample informs the neural network model about a combinatorial number of other patterns... (read more)

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