Instruction: Explain how contextual word embeddings address the challenge of polysemy in natural language understanding.
Context: This question gauges the candidate's understanding of advanced word embedding techniques and their significance in interpreting words with multiple meanings based on context.
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The way I'd explain it in an interview is this: Contextual embeddings help with polysemy because they allow the same word to have different vector representations depending on surrounding context. That is a major improvement over static embeddings, where one word...