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A language model is processing the sentence: 'The delivery driver carefully parked the large van.' To understand the context of the word 'parked', the model generates a 'focus' vector for it. This 'focus' vector is then compared against a 'label' vector for every word in the sentence to calculate relevance scores. What is the primary function of the 'label' vector associated with the word 'van' in this process?

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Updated 2025-09-26

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