The scripts I use to train models are in the bin/ folder. In the past, I've also used Maven launchers.

1. Generate your classpath using mvn dependency:build-classpath and copy/paste the output into bin/train-conllchain-ner.sh in the appropriate place to set the CP variable.

2. Clone FACTORIE, cd into the directory, and generate a jar using

    mvn -Dmaven.test.skip=true package -Pnlp-jar-with-dependencies 
   

   Then copy/paste the path to the jar into bin/train-conllchain-ner.sh to set the factoriejar variable.

3. Change other options as desired (see e.g. cc.factorie.app.nlp.ner.ChainNerOpts for available options)

4. Run

    $ ./bin/train-conllchain-ner.sh
   

Note #1: the lexicons use a significant amount of memory and you may have to modify your JVM heap size or something

Repeat the above, except using bin/optimize-conllchain-ner.sh.

CoNLL 2003 (on blake):

• training set: /iesl/data/conll/2003/eng.train
• dev set: /iesl/data/conll/2003/eng.testa
• test set: /iesl/data/conll/2003/eng.testb

Brown Clusters (on blake):

• /iesl/canvas/ksilvers/data/brownBllipClusters (I copied this from A. Passos' folder)

1. Clone FACTORIE

2. Package i.e. mvn -Dmaven.test.skip=true package -Pnlp-jar-with-dependencies

3. Start FACTORIE using ConllChainNer:

    $ bin/fac nlp --conll-chain-ner
   

4. Process data:

    $ echo "Hello President Bush" | nc localhost 3228
   

See src/main/scala/edu/umass/cs/iesl/nertut/App.scala