Noise-Contrastive Estimation and its Generalizations

Paper Link Authors: Michael Gutmann Aim:
This Paper is second in the series by Mikolov et al. of Statistical Language Models Based on Neural Networks It is an extension to the proposed Skip-gram model in terms of quality and training speed. It also incorporates methods for Phrase representation and explores the interesting property of Skip-gram model. Notes on Noise Contrastive Estimation and Negative Sampling

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