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Context understanding in NLP involves recognizing the surrounding words and background situations to accurately determine meanings in language use. The challenge lies in the inherent ambiguity and variability of natural language, where the same phrase can mean different things in different contexts. Advanced models like transformers have been developed to better handle context, but achieving human-like understanding remains a significant challenge.