Understand
Word2vec, as an efficient tool for learning vector representation of words has shown its effectiveness in many natural language processing tasks.
- Mikolov et al.
- issued Skip-Gram and Negative Sampling model for developing this toolbox.
- Perozzi et al.
Built on
Hierarchical probabilistic neural network language model
F. Morin and Y. Bengio · 2005
Earlier work this paper cites.
A scalable hierarchical distributed language model
A. Mnih and G. E. Hinton · 2009
Earlier work this paper cites.
Similar
Efficient estimation of word representations in vector space
T. Mikolov, K. Chen, G. Corrado, and J. Dean · 2013
Cited alongside, same era.
Distributed representations of words and phrases and their compositionality
T. Mikolov, I. Sutskever, K. Chen, G. S. Corrado, and J. Dean · 2013
Cited alongside, same era.
Then
Neural word embedding as implicit matrix factorization
O. Levy and Y. Goldberg · 2014
Later among the works it cites.
Deepwalk: Online learning of social representations
B. Perozzi, R. Al-Rfou, and S. Skiena · 2014
Later among the works it cites.
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