Explain the challenge of polysemy in word embeddings and potential strategies to address it.

Polysemy, the phenomenon of words having multiple meanings based on context, poses a challenge for word embeddings which traditionally map each word to a single vector. Strategies to address polysemy include contextualized word embeddings, where embeddings are generated based on the surrounding text, effectively allowing different embeddings for different meanings of the same word.