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Machine Brief|

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  2. /Glossary
  3. /Word2Vec
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Word2Vec

One of the earliest successful word embedding models, from Google in 2013.

Definition

One of the earliest successful word embedding models, from Google in 2013. It learned vector representations where similar words have similar vectors. Famous for finding that 'king - man + woman = queen.' While superseded by contextual embeddings, it proved that distributed representations capture meaning.

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Related Terms

Embedding

A dense numerical representation of data (words, images, etc.

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