Stanford Named Entity Recognizer
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Stanford Named Entity Recognizer, also known as Stanford NER, is an Open Source utility that offers a high-performance machine learning based named entity recognition system.
Named Entity Recognition (NER) labels sequences of words in a text. The software provides a general implementation of linear chain Conditional Random Field (CRF) sequence models, coupled with well-engineered feature extractors for Named Entity Recognition.
Included with the download are good 3 class (PERSON, ORGANIZATION, LOCATION) named entity recognizers for English and another pair of models trained on the CoNLL 2003 English training data.
Stanford Named Entity Recognizer is a cross-platform utility capable of running on any operating system that comes with Java support (Windows, Mac OS X, Linux).
Free download from Shareware Connection - Stanford Named Entity Recognizer, also known as Stanford NER, is an Open Source utility that offers a high-performance machine learning based named entity recognition system.
Version: 1.2.6 | Platform: WinOther
Released Date: | Rating: 0 | Title: Stanford Named Entity Recognizer
Author Url: http://stanford.edu
Program Info Url: http://stanford.edu
Download Url: http://nlp.stanford.edu/software/stanford-ner-2012-07-09.tgz
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All software of The Stanford Natural Language Processing Group.
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