stanford nlp - French coreference annotation using CoreNLP -

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can me correct setting performing coreference annotation french using corenlp? have tryed basic suggestion editing properties file:

annotators = tokenize, ssplit, pos, parse, lemma, ner, parse, depparse, mention, coref  tokenize.language = fr  pos.model = edu/stanford/nlp/models/pos-tagger/french/french.tagger     parse.model = edu/stanford/nlp/models/lexparser/frenchfactored.ser.gz

the command:

java -cp "*" -xmx2g edu.stanford.nlp.pipeline.stanfordcorenlp -props frenchprops.properties -file frenchfile.txt

which gets following output log:

[main] info edu.stanford.nlp.pipeline.stanfordcorenlp - adding annotator tokenize [main] info edu.stanford.nlp.pipeline.stanfordcorenlp - adding annotator ssplit [main] info edu.stanford.nlp.pipeline.stanfordcorenlp - adding annotator pos reading pos tagger model edu/stanford/nlp/models/pos-tagger/french/french.tagger ... done [0.3 sec]. [main] info edu.stanford.nlp.pipeline.stanfordcorenlp - adding annotator parse [main] info edu.stanford.nlp.parser.common.parsergrammar - loading parser serialized file edu/stanford/nlp/models/lexparser/frenchfactored.ser.gz ...  done [2.2 sec]. [main] info edu.stanford.nlp.pipeline.stanfordcorenlp - adding annotator lemma [main] info edu.stanford.nlp.pipeline.stanfordcorenlp - adding annotator ner loading classifier edu/stanford/nlp/models/ner/english.all.3class.distsim.crf.ser.gz ... done [2.0 sec]. loading classifier edu/stanford/nlp/models/ner/english.muc.7class.distsim.crf.ser.gz ... done [0.7 sec]. loading classifier edu/stanford/nlp/models/ner/english.conll.4class.distsim.crf.ser.gz ... done [0.9 sec]. [main] info edu.stanford.nlp.time.jollydayholidays - initializing jollydayholiday sutime classpath edu/stanford/nlp/models/sutime/jollyday/holidays_sutime.xml sutime.binder.1. reading tokensregex rules edu/stanford/nlp/models/sutime/defs.sutime.txt ago 23, 2016 5:37:34 pm edu.stanford.nlp.ling.tokensregex.coremapexpressionextractor appendrules informaciÓn: read 83 rules reading tokensregex rules edu/stanford/nlp/models/sutime/english.sutime.txt ago 23, 2016 5:37:34 pm edu.stanford.nlp.ling.tokensregex.coremapexpressionextractor appendrules informaciÓn: read 267 rules reading tokensregex rules edu/stanford/nlp/models/sutime/english.holidays.sutime.txt ago 23, 2016 5:37:34 pm edu.stanford.nlp.ling.tokensregex.coremapexpressionextractor appendrules informaciÓn: read 25 rules [main] info edu.stanford.nlp.pipeline.stanfordcorenlp - adding annotator parse [main] info edu.stanford.nlp.pipeline.stanfordcorenlp - adding annotator depparse loading depparse model file: edu/stanford/nlp/models/parser/nndep/english_ud.gz ...  precomputed 100000, elapsed time: 1.639 (s) initializing dependency parser done [6.4 sec]. [main] info edu.stanford.nlp.pipeline.stanfordcorenlp - adding annotator mention using mention detector type: rule [main] info edu.stanford.nlp.pipeline.stanfordcorenlp - adding annotator coref exception in thread "main" java.lang.outofmemoryerror: java heap space     @ java.util.arrays.copyofrange(arrays.java:3664)     @ java.lang.string.<init>(string.java:207)     @ java.lang.stringbuilder.tostring(stringbuilder.java:407)     @ java.io.objectinputstream$blockdatainputstream.readutfbody(objectinputstream.java:3097)     @ java.io.objectinputstream$blockdatainputstream.readutf(objectinputstream.java:2892)     @ java.io.objectinputstream.readstring(objectinputstream.java:1646)     @ java.io.objectinputstream.readobject0(objectinputstream.java:1344)     @ java.io.objectinputstream.readobject(objectinputstream.java:373)     @ java.util.hashmap.readobject(hashmap.java:1402)     @ sun.reflect.generatedmethodaccessor3.invoke(unknown source)     @ sun.reflect.delegatingmethodaccessorimpl.invoke(delegatingmethodaccessorimpl.java:43)     @ java.lang.reflect.method.invoke(method.java:498)     @ java.io.objectstreamclass.invokereadobject(objectstreamclass.java:1058)     @ java.io.objectinputstream.readserialdata(objectinputstream.java:1909)     @ java.io.objectinputstream.readordinaryobject(objectinputstream.java:1808)     @ java.io.objectinputstream.readobject0(objectinputstream.java:1353)     @ java.io.objectinputstream.defaultreadfields(objectinputstream.java:2018)     @ java.io.objectinputstream.readserialdata(objectinputstream.java:1942)     @ java.io.objectinputstream.readordinaryobject(objectinputstream.java:1808)     @ java.io.objectinputstream.readobject0(objectinputstream.java:1353)     @ java.io.objectinputstream.readobject(objectinputstream.java:373)     @ edu.stanford.nlp.io.ioutils.readobjectfromurlorclasspathorfilesystem(ioutils.java:324)     @ edu.stanford.nlp.scoref.simplelinearclassifier.<init>(simplelinearclassifier.java:30)     @ edu.stanford.nlp.scoref.pairwisemodel.<init>(pairwisemodel.java:75)     @ edu.stanford.nlp.scoref.pairwisemodel$builder.build(pairwisemodel.java:57)     @ edu.stanford.nlp.scoref.clusteringcorefsystem.<init>(clusteringcorefsystem.java:31)     @ edu.stanford.nlp.scoref.statisticalcorefsystem.fromprops(statisticalcorefsystem.java:48)     @ edu.stanford.nlp.pipeline.corefannotator.<init>(corefannotator.java:66)     @ edu.stanford.nlp.pipeline.annotatorimplementations.coref(annotatorimplementations.java:220)     @ edu.stanford.nlp.pipeline.annotatorfactories$13.create(annotatorfactories.java:515)     @ edu.stanford.nlp.pipeline.annotatorpool.get(annotatorpool.java:85)     @ edu.stanford.nlp.pipeline.stanfordcorenlp.construct(stanfordcorenlp.java:375)

which made me think there missing configuration stuff.

afaik corenlp doesn't offer coreference resolution french. (see http://stanfordnlp.github.io/corenlp/coref.html)


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