word2vec: The CBOW Context Average
Beginner
The problem, from first principles
CBOW predicts a center word from its surrounding context. The context words' embeddings are averaged into one vector, so the model does not depend on the order of the context.
From theory to code
Implement cbow_context_mean(context_vectors), returning the average of the context embeddings.
Constraints
- The result has the embedding dimension.
Hints
Hint 1
Average the rows of the matrix.
Keywords
research-papersunsupervisedword-embeddingsword2vec
Python
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