The exception indicates that there is not enough training data.
Maybe the data does not contain enough names?
Jörn
On 05/14/2014 07:10 PM, Walrus theCat wrote:
This is using the Java API. That is the entire stack trace.
Thanks
On Tue, May 13, 2014 at 2:14 AM, Jörn Kottmann <[email protected]> wrote:
Hello,
can you post the entire output you get from OpenNLP?
Are you using the command line interface?
Jörn
On 05/13/2014 02:25 AM, Walrus theCat wrote:
This is with plenty of data, by the way.
On Thu, May 8, 2014 at 2:30 PM, Walrus theCat <[email protected]
wrote:
Hi,
The CrossValidator is hitting a NPE in a pretty standard use case. I
traced it through, and, when cross-validating, DataIndexer.getContexts is
returning null (and thus, the call to contexts.length is throwing the
exception.) What can I do here?
Thanks,
Walrus theCat
Exception in thread "main" java.lang.NullPointerException
at opennlp.tools.ml.maxent.GISTrainer.trainModel(
GISTrainer.java:264)
at opennlp.tools.ml.maxent.GIS.trainModel(GIS.java:298)
at opennlp.tools.ml.maxent.GIS.doTrain(GIS.java:83)
at opennlp.tools.ml.maxent.GIS.doTrain(GIS.java:36)
at
opennlp.tools.ml.AbstractEventTrainer.train(
AbstractEventTrainer.java:93)
at opennlp.tools.namefind.NameFinderME.train(NameFinderME.java:410)
at opennlp.tools.namefind.NameFinderME.train(NameFinderME.java:472)
at
opennlp.tools.namefind.TokenNameFinderCrossValidator.evaluate(
TokenNameFinderCrossValidator.java:225)
at precyse.ml.ner.TrainNERModels$.getResults(TrainNERModels.
scala:153)
at
precyse.ml.ner.TrainNERModels$$anonfun$main$3.apply(
TrainNERModels.scala:58)
at
precyse.ml.ner.TrainNERModels$$anonfun$main$3.apply(
TrainNERModels.scala:53)
at
scala.collection.mutable.ResizableArray$class.foreach(
ResizableArray.scala:60)
at scala.collection.mutable.ArrayBuffer.foreach(
ArrayBuffer.scala:47)
at initech.ml.ner.TrainNERModels$.main(TrainNERModels.scala:53)
at initech.ml.ner.TrainNERModels.main(TrainNERModels.scala)
