Sequence labeling in Natural Language Processing involves assigning a specific category or label to each item in a sequence, such as words in a sentence. This technique is essential for tasks like part-of-speech tagging, named entity recognition, and chunking. It helps models understand contextual relationships within data, enabling more accurate interpretation and processing of complex language patterns.