Question: How do neural language models typically handle words that have multiple meanings, like bank? Group of answer choices By always using the most common meaning

How do neural language models typically handle words that have multiple meanings, like "bank"?
Group of answer choices
By always using the most common meaning of the word.
By consulting an external dictionary during each use.
By randomly selecting one of the possible meanings.
By considering the surrounding words and phrases to infer the correct meaning.

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