Package edu.stanford.nlp.ie.crf

A package for doing inference with conditional random fields.

See: Description

Package edu.stanford.nlp.ie.crf Description

A package for doing inference with conditional random fields. This implements the common, standard case of a linear chain CRF of arbitrary order (though usually first order in practice) where each position can be labeled with one of a fixed set of classes.

Through the use of different edu.stanford.nlp.sequences.FeatureFactory classes and different edu.stanford.nlp.sequences.DocumentReaderAndWriter classes, it can read data in various formats, and be customized for various sequence inference tasks. Most of its use has been for Named Entity Recognition, but it has also been used for other applications such as Chinese word segmentation and OCR.

For more usage information, consult the Javadoc of the CRFClassifier class.

Author:
Jenny Finkel

Stanford NLP Group