Conditional Random Field

Sat, 18 Jul 2026 09:51:20 +0000

Definition

Conditional Random Fields (CRFs) are a class of discriminative models commonly used in natural language processing and bioinformatics. Unlike generative models, CRFs directly model the conditional probability of labels given observations, making them effective for tasks where label dependencies are crucial. They are widely employed in part-of-speech tagging, named entity recognition, and gene prediction. CRFs leverage global normalization to consider the entire sequence of labels, improving accuracy over local classification methods.

Structured Prediction on English AI Terms Dictionary

Conditional Random Field

Definition