word2vec: Building Skip-gram Pairs
Beginner
The problem, from first principles
Word2vec (Mikolov et al., 2013) learns word vectors by predicting context words from a center word. Each word and each neighbour within a fixed window forms one training pair.
From theory to code
Implement skipgram_pairs(tokens, window), returning every (center, context) pair within the window.
Constraints
- A word is not paired with itself.
Hints
Hint 1
For each position, loop over the neighbours inside the window and skip the center.
Keywords
research-papersunsupervisedword-embeddingsword2vec
Python
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