Definition
The task of assigning categorical labels to each element in a sequence of observations.
Detailed Explanation
Sequence labeling involves predicting a sequence of labels for a given input sequence. Common approaches use recurrent neural networks or conditional random fields. Applications include part-of-speech tagging, named entity recognition, and chunking.
Use Cases
Named entity recognition, part-of-speech tagging, gene sequence analysis
