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Edited
Dec 18, 2022
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# Noise Contrastive Estimation
A good model should be able to differentiate data from noise by means of logistic regression

NCE is only concerned with maximizing the log probability of the softmax. The Skip-gram model is only concerned with learning **high-quality vector representations**

Sampling negatives, the positives (the words in the contexT)are classified in a higher probability than the negatives
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