Construct · 1 fields · 1 citations

word2vec: a standalone construct

One name. One construct. A landmark on the map.

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Natural language processing

shallow neural models that learn dense word vectors by predicting words from their contexts or contexts from words, placing related words close together.

In natural language processing, word2vec refers to shallow neural models that learn dense word vectors by predicting words from their contexts or contexts from words, placing related words close together. This meaning comes from Mikolov (2013) in arXiv.[1]

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Nearby constructs

embedding2 fields · 3 citationsjingle · one word, two constructs natural3 fields · 7 citationsjingle · one word, three constructs word3 fields · 5 citationsjingle · one word, three constructs

References

Mikolov, T., Chen, K., Corrado, G., & Dean, J. (2013). Efficient Estimation of Word Representations in Vector Space. arXiv. https://doi.org/10.48550/arxiv.1301.3781

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