Improving Document Ranking with Dual Word Embeddings

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#machine learning

Word2vec produces two embedding spaces, the in-embedding and out-embedding.

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References:
  1. Nalisnick, Eric, Bhaskar Mitra, Nick Craswell, and Rich Caruana. 2016. Improving Document Ranking with Dual Word Embeddings.
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reading/word2vec-in-out-embedding Links to:
Word2vec
Single-layer neural network creates embedding space

L Ma (2019). 'Improving Document Ranking with Dual Word Embeddings', Datumorphism, 10 April. Available at: https://datumorphism.leima.is/reading/word2vec-in-out-embedding/.