CRF stands for Conditional Random Field. It is a powerful technique used in entity recognition and other natural language processing tasks. CRF models are trained on a dataset of labeled text, and they can be used to predict the labels of new text. CRF is a discriminative model, which means that it learns to directly predict the labels of the text, rather than trying to model the underlying probability distribution of the data.

What is the Full Name of CRF in Entity Recognition?

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