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Which property of word embeddings allows them to capture semantic relationships?

easy📝 Conceptual Q2 of 15
NLP - Word Embeddings
Which property of word embeddings allows them to capture semantic relationships?
AThey place semantically similar words near each other in vector space
BThey convert words into images
CThey count the frequency of letters in words
DThey assign random numbers to words
Step-by-Step Solution
Solution:

  1. Step 1: Identify how embeddings represent words

    Embeddings map words to points in a multi-dimensional space.

  2. Step 2: Understand semantic closeness

    Words with related meanings are located close together in this space.

  3. Final Answer:

    They place semantically similar words near each other in vector space -> Option A

  4. Quick Check:

    Semantic relationships = proximity in vector space [OK]
Quick Trick: Semantic similarity means closeness in embedding space [OK]
Common Mistakes:
MISTAKES
  • Assuming embeddings are random
  • Confusing embeddings with letter frequency
  • Thinking embeddings convert words to images

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