/**
* <body>
* <p>
* This package contains the older version of Stanford NER tagger that uses a
* Conditional Markov Model (a.k.a., Maximum Entropy Markov Model or MEMM)
* designed for Named Entity Recognition, and various suppport code.
* For newer version of the Stanford NER tagger that is based on Conditional
* Random Fields (CRF) models, please see <code>edu.stanford.nlp.ie.crf.CRFClassifier</code>.
* The original version was written for the CoNLL 2003 Shared Task competition.
* The design was considerably generalized, and many more features added for the
* BioCreative 2003 evaluation. For basic NER tagging, you should use
* <code>CMMClassifier</code>. (Earlier versions still exist as
* <code>NGramStringClassifier</code> and <code>BioNGramStringClassifier</code>.)
* The rest of the code in this directory is various remnants of our
* BioCreative system and various support utilities for NER or CMMClassifier.
* </p>
* </body>
*/
package edu.stanford.nlp.ie.ner;