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Package edu.stanford.nlp.ie.ner

This package contains the older version of the 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 support code.

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Package edu.stanford.nlp.ie.ner Description

This package contains the older version of the 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 support code. For a newer version of the Stanford NER tagger that is based on Conditional Random Fields (CRF) models, please see edu.stanford.nlp.ie.crf.CRFClassifier. 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 NGramStringClassifier and BioNGramStringClassifier.) The rest of the code in this directory is various remnants of our BioCreative system and various support utilities for NER or CMMClassifier.
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