Description
Sequential data can be labeled with Conditional Random Fields for machine-learning and natural-language processing tasks. It is useful for developers and researchers working on tagging, segmentation, and structured prediction.
Model quality depends on training data, features, and evaluation. Validate results carefully before using predictions in decisions that affect people.