NLP - Word Embeddings
In the Skip-gram architecture of Word2Vec, which of the following best describes the relationship between input and output?
In the Skip-gram architecture of Word2Vec, which of the following best describes the relationship between input and output?
easy📝 Conceptual Q2 of 15
Step-by-Step Solution
Solution:
Step 1: Understand Skip-gram model
The Skip-gram model predicts context words given a center word.Step 2: Contrast with CBOW
CBOW predicts the center word from context words, so The model takes context words as input and predicts the center word. is CBOW, not Skip-gram.Final Answer:
The model takes a center word as input and predicts its surrounding context words. -> Option AQuick Check:
Skip-gram input = center word, output = context words [OK]
Quick Trick: Skip-gram predicts context from center word [OK]
Common Mistakes:
MISTAKES- Confusing Skip-gram with CBOW input-output roles
- Assuming Skip-gram predicts next word in sequence
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