Which statement describes static embeddings?

Which statement describes static embeddings?

• A. It fails to take context into account; for example 'bank' could mean a riverbank or a financial institution
• B. It dynamically updates with surrounding context
• C. It uses reinforcement feedback to adjust vectors
• D. It represents sentence meaning using context vectors

Answer: (A)

Static embeddings map each word to a single, fixed vector regardless of surrounding text. This means a word like "bank" has one representation whether you mean a river edge or a financial institution, so context can’t help disambiguate its meaning. In contrast, contextual embeddings produce different vectors for the same word depending on nearby words, allowing sense-shifting like “bank of the river” versus “bank loan.” The other ideas describe approaches that incorporate context or adapt representations dynamically, which is not how static embeddings operate. So, describing that static embeddings don’t take context into account and assign a single vector to a word is the correct understanding.

Static embeddings map each word to a single, fixed vector regardless of surrounding text. This means a word like "bank" has one representation whether you mean a river edge or a financial institution, so context can’t help disambiguate its meaning. In contrast, contextual embeddings produce different vectors for the same word depending on nearby words, allowing sense-shifting like “bank of the river” versus “bank loan.” The other ideas describe approaches that incorporate context or adapt representations dynamically, which is not how static embeddings operate. So, describing that static embeddings don’t take context into account and assign a single vector to a word is the correct understanding.