Continuous Word Vector Space Model

A Continuous Word Vector Space Model is a word vector space model that is a continuous vector space model (with continuous word vectors).

• Context:
  • It can be produced by a Continuous Word Vector Space Modeling Task.
  • It can range from being a Dense Continuous Word Vectorization Function to being a Sparse Continuous Word Vectorization Function.
  • …
• Example(s):
  • Distributional Continuous Word Vector Space Model, such as a word2vec model.
  • a Word Embedding Model.
  • …
• Counter-Example(s):
  • a Discrete Word Vector Space Model,
• See: Word Embedding Function.

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References

2013

• (Mikolov et al., 2013a) ⇒ Tomáš Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. (2013). “Efficient Estimation of Word Representations in Vector Space.” In: Proceedings of International Conference of Learning Representations Workshop.
  • QUOTE: Representation of words as continuous vectors has a long history (Elman, 1990; Rumelhart et al., 1986; Hinton et al., 1986).

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