/**
* 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.
* <p>
* Through the use of different
* <code>edu.stanford.nlp.sequences.FeatureFactory</code> classes and different
* <code>edu.stanford.nlp.sequences.DocumentReaderAndWriter</code> 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.
* <p>
* For more usage information, consult the Javadoc of the
* <code>CRFClassifier</code> class.
* @author Jenny Finkel
*/
package edu.stanford.nlp.ie.crf;