Word Sense Disambiguation (WSD) is the computational task of determining which sense of a word is activated by its use in a particular context, crucial for natural language understanding and machine translation. It involves leveraging linguistic knowledge, statistical data, and machine learning techniques to resolve ambiguities in language processing tasks.