Exception in GISTrainer.trainModel

Karni Gilon

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Oct 19, 2016, 2:49:23 AM10/19/16

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I get an exceptions in GISTrainer.trainModel when running the tutorial Hello World application l.

Following are the last lines on the console:

=========================

6/10/19 09:45:55 INFO implbase.LAP_ImplBase: Pair 800 written as /cs/guest/karnigilon/tmp/EN/dev/800.xmi

Oct 19, 2016 9:45:55 AM eu.excitementproject.eop.core.MaxEntClassificationEDA initializeModel

INFO: The trained model will be stored in /cs/guest/karnigilon/workspace/analogies1/eop-resources-1.2.3/model/MaxEntClassificationEDAModel_Base+OpenNLP_EN

Indexing events using cutoff of 1

Computing event counts... done. 0 events

Indexing... done.

Sorting and merging events... Done indexing.

Incorporating indexed data for training...

Exception in thread "main" java.lang.NullPointerException

at opennlp.maxent.GISTrainer.trainModel(GISTrainer.java:263)

at opennlp.maxent.GIS.trainModel(GIS.java:256)

at opennlp.maxent.GIS.trainModel(GIS.java:223)

at opennlp.maxent.GIS.trainModel(GIS.java:166)

at eu.excitementproject.eop.core.MaxEntClassificationEDA.startTraining(MaxEntClassificationEDA.java:513)

at hello2.pkg.HelloWorld2.creatingNewModels(HelloWorld2.java:83)

at hello2.pkg.HelloWorld2.main(HelloWorld2.java:234)

===============================

Roberto Ferrari

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Oct 19, 2016, 6:06:14 AM10/19/16

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Could you send us the content of the EDA's configuration file you use?

Thanks

Roberto

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Karni Gilon

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Oct 19, 2016, 10:57:02 AM10/19/16

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Yes, ofcourse. The file is axEntClassificationEDA_Base+OpenNLP_EN.xml and following is the content:

<?xml version="1.0" encoding="utf-8"?>

<!DOCTYPE configuration [

<!ENTITY myVar "Some common #PCDATA that can be reused... ">

]>

<!--

Description: Given a certain configuration, the EDA - named MaxEntClassificationEDA -

can be trained over a specific data set in order to optimize its performance based on Maximum Entropy Modeling.

MaxEntClassificationEDA learns a binary classifier for deciding the entailment problem. The supervised learner

receives a number of features which are provided through the interplay of different processing components and

knowledge sources. A configuration file, like this, specifies these components and knowledge sources together

with settings of the learner.

The common structure of a configuration file for MaxEntClassificationEDA is as follows (for further detail

also visit https://github.com/hltfbk/Excitement-Open-Platform/wiki/MaxEntClassificationEDA):

- It begins with a specification of platform specific settings in the section "PlatformConfiguration" for

selecting the EDA, the language and eventually the LPA (Linguistic Pipeline Analysis).

- It follows the names of the processing components to use, where for each component a separate section is

defined.

- As minimal configuration the base processing components named "BagOfWordsScoring" and "BagOfLemmasScoring"

have to be specified, which provide bag of words and bag of lemmas features.

- If a processing component also makes use of a knowledge base, then this knowledge base has to be introduced

via its own section and referenced via the "name" parameter in the corresponding processing component

that uses this knowledge base.

- Finally, the parameters for the learning and application phases of the activated EDA have to be specified viz.

the model file, locations of training and test data, control parameters for the classifier,

and the list of components to run.

Note, that the name of the EDA in the "activatedEDA" property of the "PlatformConfiguration" and the name

of this last section must be equal.

-->

<property name="activatedEDA">eu.excitementproject.eop.core.MaxEntClassificationEDA</property>

<property name="activatedLAP">eu.excitementproject.eop.lap.dkpro.OpenNLPTaggerEN</property>

</section>

</section>

<property name="modelFile">eop-resources-1.2.3/model/MaxEntClassificationEDAModel_Base+OpenNLP_EN</property>

<property name="Components">BagOfWordsScoring</property>

</section>

</configuration>

Roberto

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Roberto Ferrari

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Oct 20, 2016, 2:52:51 AM10/20/16

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Be sure that the directories in the configuration file (trainDir, testDir) and the model file name (modelFile) correspond

to the ones that you have in the main method of the HelloWorld class.

I'm saying that because you are saving the preprocessed files into

/cs/guest/karnigilon/tmp/EN/dev/

but in the config file it seems that the directory is set to /tmp/EN/dev1/

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Karni Gilon

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Oct 20, 2016, 2:58:05 AM10/20/16

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Thanks. I noticed it last night and changed it back to /tmp (i.e.,tmp is back in the general directory rather than local).

However, the exception remains

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Karni Gilon

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Oct 20, 2016, 4:09:31 AM10/20/16

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Here is the exception again (BTW, I assume that the place where the trained model is OK, and should not also be /tmp/EN. Can you confirm?)

16/10/20 11:04:16 INFO implbase.LAP_ImplBase: Pair 800 written as /tmp/EN/dev/800.xmi

Oct 20, 2016 11:04:16 AM eu.excitementproject.eop.core.MaxEntClassificationEDA initializeModel

INFO: The trained model will be stored in /cs/guest/karnigilon/workspace/analogies1/eop-resources-1.2.3/model/MaxEntClassificationEDAModel_Base+OpenNLP_EN

Indexing events using cutoff of 1

Computing event counts... done. 0 events

Indexing... done.

Sorting and merging events... Done indexing.

Incorporating indexed data for training...

Exception in thread "main" java.lang.NullPointerException

at opennlp.maxent.GISTrainer.trainModel(GISTrainer.java:263)

at opennlp.maxent.GIS.trainModel(GIS.java:256)

at opennlp.maxent.GIS.trainModel(GIS.java:223)

at opennlp.maxent.GIS.trainModel(GIS.java:166)

at eu.excitementproject.eop.core.MaxEntClassificationEDA.startTraining(MaxEntClassificationEDA.java:513)

at hello2.pkg.HelloWorld2.creatingNewModels(HelloWorld2.java:83)

at hello2.pkg.HelloWorld2.main(HelloWorld2.java:234)

Karni Gilon

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Oct 20, 2016, 4:16:15 AM10/20/16

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OK. Just noticed there was still an issue with the directory name. Will fix. Thanks for your help

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