|CMMClassifier<IN extends CoreLabel>||
Does Sequence Classification using a Conditional Markov Model.
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
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
CMMClassifier. (Earlier versions still exist as
The rest of the code in this directory is various remnants of our
BioCreative system and various support utilities for NER or CMMClassifier.
Stanford NLP Group