A fork of the BANNER Named Entity Recognizer from Arizona State. This is based on a CVS snapshot from 11/27/2014.

• Add BANNER_DATA to your environment pointing to the absolute path to the banner_data/ directory in this package.
• Optionally, only if changes are made to the source code in this package, run: sbt publish-local.

The following changes were made to the original Banner code:

• Removed the following packages from src: test, edu.umass.cs.mallet.projects. They are not necessary for this project.
• Moved the code from src/ to src/main/java/.
• Moved all data resources (dict/, nlpdata/, regex.txt, banner.properties) under the new banner_data/ directory. Adjusted banner.properties to point to the new locations.
• Trained a model using all BC2 training data, and saved it as banner_data/banner_model.dat.
• Added the BannerWrapper class, which creates a Banner NER with default options, based on the banner_data directory.
• Added the BannerProperties.load(Properties properties) method, which is needed by the BannerWrapper class.

BANNER was created by Bob Leaman and is advised by Dr. Graciela Gonzalez, both members of the BioAI lab at Arizona State University. See the Banner project web page for more details: http://banner.sourceforge.net/. This project is distributed under the BANNER original license (see license.txt).

The packaging as a sbt project was implemented by Mihai Surdeanu and Marco Valenzuela.