Polysemy

Polysemy is the phenomenon where one word has multiple meanings depending on context: for example, 'bank' can mean a financial institution, a riverbank, or a place to store something. This poses a serious challenge for search engines because without context, it's unclear which meaning matches user intent, leading to Vocabulary Mismatch problems.

The solution lies in contextual embeddings (like BERT from 2018), which generate different vectors for the same word in different sentences. 'Bank on the river' and 'bank downtown' have completely different vector representations. For SEO, this means precise context in content (meronyms, hyponyms, Semantic Role Labels) helps AI unambiguously identify which meaning you intend.

In practice, if your Central Entity is polysemous (e.g., 'Java' = island/programming language/coffee), clearly specify the meaning in your first BLUF sentence and add meronyms that build context. Polysemy is particularly important in legal industries — where many terms have different meanings in colloquial versus professional language.