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It might work to double-click on the archive but this may well fail as the operating system does not give Java enough memory for our NER system, so it is safer to instead double click on the icon (Windows) or (Linux/Unix/Mac OSX).

Then, using the top option from the Classifier menu, load a CRF classifier from the classifiers directory of the distribution.

More recent code development has been done by various Stanford NLP Group members.

Stanford NER is available for download, licensed under the GNU General Public License (v2 or later). The package includes components for command-line invocation (look at the shell scripts and batch files included in the download), running as a server (look at file included in the download, and then at the javadocs).

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Much of the documentation and usability is due to Anna Rafferty.

You can try out Stanford NER CRF classifiers or Stanford NER as part of Stanford Core NLP on the web, to understand what Stanford NER is and whether it will be useful to you.