most citedSkip-gram Language Modeling Using Sparse Non-negative Matrix Probability Estimation

11 citations · 11 across the 1 of their papers we have counts for

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1 paper

cs.LG2014★ 11 cited

Skip-gram Language Modeling Using Sparse Non-negative Matrix Probability Estimation

Noam Shazeer, Joris Pelemans, Ciprian Chelba

We present a novel family of language model (LM) estimation techniques named Sparse Non-negative Matrix (SNM) estimation. A first set of experiments empirically evaluating it on th…