我正在尝试使用Stanford CoreNLP的OpenIE工具从多个文件中提取信息，当将多个文件(而不只是一个)传递给输入时，它会出现内存不足错误。
All files have been queued; awaiting termination...
java.lang.OutOfMemoryError: GC overhead limit exceeded
at edu.stanford.nlp.graph.DirectedMultiGraph.outgoingEdgeIterator(DirectedMultiGraph.java:508)
at edu.stanford.nlp.semgraph.SemanticGraph.outgoingEdgeIterator(SemanticGraph.java:165)
at edu.stanford.nlp.semgraph.semgrex.GraphRelation$GOVERNER$1.advance(GraphRelation.java:267)
at edu.stanford.nlp.semgraph.semgrex.GraphRelation$SearchNodeIterator.initialize(GraphRelation.java:1102)
at edu.stanford.nlp.semgraph.semgrex.GraphRelation$SearchNodeIterator.<init>(GraphRelation.java:1083)
at edu.stanford.nlp.semgraph.semgrex.GraphRelation$GOVERNER$1.<init>(GraphRelation.java:257)
at edu.stanford.nlp.semgraph.semgrex.GraphRelation$GOVERNER.searchNodeIterator(GraphRelation.java:257)
at edu.stanford.nlp.semgraph.semgrex.NodePattern$NodeMatcher.resetChildIter(NodePattern.java:320)
at edu.stanford.nlp.semgraph.semgrex.CoordinationPattern$CoordinationMatcher.matches(CoordinationPattern.java:211)
at edu.stanford.nlp.semgraph.semgrex.NodePattern$NodeMatcher.matchChild(NodePattern.java:514)
at edu.stanford.nlp.semgraph.semgrex.NodePattern$NodeMatcher.matches(NodePattern.java:542)
at edu.stanford.nlp.naturalli.RelationTripleSegmenter.segmentVerb(RelationTripleSegmenter.java:541)
at edu.stanford.nlp.naturalli.RelationTripleSegmenter.segment(RelationTripleSegmenter.java:850)
at edu.stanford.nlp.naturalli.OpenIE.relationInFragment(OpenIE.java:354)
at edu.stanford.nlp.naturalli.OpenIE.lambda$relationsInFragments$2(OpenIE.java:366)
at edu.stanford.nlp.naturalli.OpenIE$$Lambda$76/1438896944.apply(Unknown Source)
at java.util.stream.ReferencePipeline$3$1.accept(ReferencePipeline.java:193)
at java.util.HashMap$KeySpliterator.forEachRemaining(HashMap.java:1540)
at java.util.stream.AbstractPipeline.copyInto(AbstractPipeline.java:481)
at java.util.stream.AbstractPipeline.wrapAndCopyInto(AbstractPipeline.java:471)
at java.util.stream.ReduceOps$ReduceOp.evaluateSequential(ReduceOps.java:708)
at java.util.stream.AbstractPipeline.evaluate(AbstractPipeline.java:234)
at java.util.stream.ReferencePipeline.collect(ReferencePipeline.java:499)
at edu.stanford.nlp.naturalli.OpenIE.relationsInFragments(OpenIE.java:366)
at edu.stanford.nlp.naturalli.OpenIE.annotateSentence(OpenIE.java:486)
at edu.stanford.nlp.naturalli.OpenIE.lambda$annotate$3(OpenIE.java:554)
at edu.stanford.nlp.naturalli.OpenIE$$Lambda$25/606198361.accept(Unknown Source)
at java.util.ArrayList.forEach(ArrayList.java:1249)
at edu.stanford.nlp.naturalli.OpenIE.annotate(OpenIE.java:554)
at edu.stanford.nlp.pipeline.AnnotationPipeline.annotate(AnnotationPipeline.java:71)
at edu.stanford.nlp.pipeline.StanfordCoreNLP.annotate(StanfordCoreNLP.java:499)
at edu.stanford.nlp.naturalli.OpenIE.processDocument(OpenIE.java:630)
DONE processing files. 1 exceptions encountered.
我使用以下调用通过输入传递文件:
java -mx3g -cp stanford-corenlp-3.6.0.jar:stanford-corenlp-3.6.0-models.jar:CoreNLP-to-HTML.xsl:slf4j-api.jar:slf4j-simple.jar edu.stanford.nlp.naturalli.OpenIE file1 file2 file3 etc.
我尝试使用
-mx3g和其他变体来增加内存，尽管处理的文件数量增加了，但数量并不多(例如，从5到7)。每个文件都经过正确处理，因此我排除了包含大句子或多行的文件。有没有我没有考虑的选项，一些OpenIE或Java标志，可以用来强制转储到输出，清理或处理的每个文件之间的垃圾回收的东西吗？
先感谢您
最佳答案
从上面的评论来看:我怀疑这是并行性过多和内存不足的问题。 OpenIE会占用一些内存，尤其是长句子时，因此，并行运行许多文件会占用相当多的内存。
一个简单的解决方法是通过设置-threads 1标志来强制程序运行单线程。如果可能，增加内存也应该有所帮助。