http://nlp.stanford.edu/software/CRF-NER.shtml
Stanford NER (also known as CRFClassifier) is a Java implementation of a Named Entity Recognizer. Named Entity Recognition (NER) labels sequences of words in a text which are the names of things, such as person and company names, or gene and protein names. The software provides a general (arbitrary order) implementation of linear chain Conditional Random Field (CRF) sequence models, coupled with well-engineered feature extractors for Named Entity Recognition
http://nlp.stanford.edu/software/jenny-ner-2007.pdf
Language-Independent Named Entity Recognition (II)
http://www.cnts.ua.ac.be/conll2003/ner/"Named entities are phrases that contain the names of persons, organizations, locations, times and quantities."
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