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If embedding vectors for 'dog' and 'cat' are close in vector space, what does this imply?

medium📝 Predict Output Q5 of 15
NLP - Word Embeddings
If embedding vectors for 'dog' and 'cat' are close in vector space, what does this imply?
AThey have the same number of letters
BThey appear in the same sentence always
CThey have similar semantic meanings
DThey are synonyms only
Step-by-Step Solution
Solution:

  1. Step 1: Understand vector closeness meaning

    Close vectors mean words share similar contexts or meanings.

  2. Step 2: Differentiate semantic similarity from other properties

    Number of letters or sentence co-occurrence is unrelated to vector closeness; synonyms are a subset of semantic similarity.

  3. Final Answer:

    They have similar semantic meanings -> Option C

  4. Quick Check:

    Close vectors = semantic similarity [OK]
Quick Trick: Close embeddings mean similar meaning, not spelling [OK]
Common Mistakes:
MISTAKES
  • Confusing spelling similarity with semantic similarity
  • Assuming vectors mean words always appear together
  • Thinking only synonyms have close embeddings

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