Использование Stanford CoreNLP - пространство кучи Java

Я пытаюсь использовать модуль coreference в конвейере Stanford CoreNLP, но в итоге получаю ошибку OutOfMemory в Java. Я уже увеличил размер кучи (через Run->Запустить конфигурации->VM Arguments в Eclipse) и установите для них значение -Xmx3g -Xms1g. Я даже пытался -Xmx12g -Xms4g, но это не такТ тоже не поможет. Я'используя Eclipse Juno в OS X 10.8.5 с Java 1.6 на 64-битной машине. У кого-нибудь есть идеи, что еще я мог бы попробовать?

используя пример кода с сайта (http://nlp.stanford.edu/software/corenlp.shtml):

Properties props = new Properties();
props.put("annotators", "tokenize, ssplit, pos, lemma, ner, parse, dcoref");
StanfordCoreNLP pipeline = new StanfordCoreNLP(props);

String text = "Stanford University is located in California. It is a great university";

Annotation document = new Annotation(text);

pipeline.annotate(document);

List sentences = document.get(SentencesAnnotation.class);

for(CoreMap sentence: sentences) {
  for (CoreLabel token: sentence.get(TokensAnnotation.class)) {
    String word = token.get(TextAnnotation.class);
    String pos = token.get(PartOfSpeechAnnotation.class);
    String ne = token.get(NamedEntityTagAnnotation.class);       
  }

  Tree tree = sentence.get(TreeAnnotation.class);
  SemanticGraph dependencies = sentence.get(CollapsedCCProcessedDependenciesAnnotation.class);
}

Map graph = document.get(CorefChainAnnotation.class);

И я получаю ошибку:

Adding annotator tokenize
Adding annotator ssplit
Adding annotator pos
Reading POS tagger model from edu/stanford/nlp/models/pos-tagger/english-left3words/english-left3words-distsim.tagger ... done [0.9 sec].
Adding annotator lemma
Adding annotator ner
Loading classifier from edu/stanford/nlp/models/ner/english.all.3class.distsim.crf.ser.gz ... done [3.1 sec].
Initializing JollyDayHoliday for sutime
Reading TokensRegex rules from edu/stanford/nlp/models/sutime/defs.sutime.txt
Reading TokensRegex rules from edu/stanford/nlp/models/sutime/english.sutime.txt
Jan 9, 2014 10:39:37 AM edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor appendRules
INFO: Ignoring inactive rule: temporal-composite-8:ranges
Reading TokensRegex rules from edu/stanford/nlp/models/sutime/english.holidays.sutime.txt
Adding annotator dcoref
Exception in thread "main" java.lang.OutOfMemoryError: Java heap space
at java.lang.String.substring(String.java:1939)
at java.lang.String.subSequence(String.java:1972)
at java.util.regex.Pattern.split(Pattern.java:1002)
at java.lang.String.split(String.java:2292)
at java.lang.String.split(String.java:2334)
at edu.stanford.nlp.dcoref.Dictionaries.loadGenderNumber(Dictionaries.java:382)
at edu.stanford.nlp.dcoref.Dictionaries.(Dictionaries.java:553)
at edu.stanford.nlp.dcoref.Dictionaries.(Dictionaries.java:463)
at edu.stanford.nlp.dcoref.SieveCoreferenceSystem.(SieveCoreferenceSystem.java:282)
at edu.stanford.nlp.pipeline.DeterministicCorefAnnotator.(DeterministicCorefAnnotator.java:52)
at edu.stanford.nlp.pipeline.StanfordCoreNLP$11.create(StanfordCoreNLP.java:775)
at edu.stanford.nlp.pipeline.AnnotatorPool.get(AnnotatorPool.java:81)
at edu.stanford.nlp.pipeline.StanfordCoreNLP.construct(StanfordCoreNLP.java:260)
at edu.stanford.nlp.pipeline.StanfordCoreNLP.(StanfordCoreNLP.java:127)
at edu.stanford.nlp.pipeline.StanfordCoreNLP.(StanfordCoreNLP.java:123)
at extraction.BaselineApproach.main(BaselineApproach.java:88)

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