How do humans deal with linguistic ambiguity in everyday conversations, and why is it challenging for computers, as mentioned in the text?
What are the three primary levels of linguistic ambiguity identified in Natural Language Processing (NLP), and how do they interact with each other?
According to the text, what are some advancements in NLP technologies, such as contextual embeddings and attention mechanisms, that have improved the handling of semantic ambiguity?
"The Art of Understanding Linguistic Ambiguity: NLP’s Greatest Challenge"
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