word2vec Parameter Learning Explained

@article{Rong2014word2vecPL,
  title={word2vec Parameter Learning Explained},
  author={Xin Rong},
  journal={CoRR},
  year={2014},
  volume={abs/1411.2738}
}
The word2vec model and application by Mikolov et al. have attracted a great amount of attention in recent two years. The vector representations of words learned by word2vec models have been proven to be able to carry semantic meanings and are useful in various NLP tasks. As an increasing number of researchers would like to experiment with word2vec, I notice that there lacks a material that comprehensively explains the parameter learning process of word2vec in details, thus preventing many… CONTINUE READING
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