ฉันพยายามเรียกใช้ตัวอย่าง แต่ฉันได้รับข้อผิดพลาด:
ข้อยกเว้นในเธรด "main" java.lang.OutOfMemoryError: Java heap space ที่
ระบบของฉันคือ
- stanford-corenlp-full-2018-10-05 v3.9.2
- รุ่น java "1.8.0_202"
- ระบบปฏิบัติการ Win10 Pro 10.0.17134 x64
ฉันได้เพิ่มไฟล์. jar เหล่านี้ไปยังไดเรกทอรี stanford-corenlp-full-2018-10-05
- Stanford ภาษาอังกฤษเป็นภาษา corenlp-2018/10/05-models.jar
- Stanford ภาษาอังกฤษ-KBP-corenlp-2018/10/05-models.jar
ฉันกำลังใช้คำสั่ง:
java -cp "*" edu.stanford.nlp.pipeline.StanfordCoreNLP -d64 -Xmx2048m -file input.txt
สิ่งนี้สร้างข้อผิดพลาดด้านล่าง
ฉันไม่มีข้อกำหนดเบื้องต้นหรือรุ่นเหล่านี้ไม่สามารถใช้ร่วมกันได้หรือไม่
ขอบคุณ
[main] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Searching for resource: StanfordCoreNLP.properties ... found. [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 [main] INFO edu.stanford.nlp.tagger.maxent.MaxentTagger - Loading POS tagger from edu/stanford/nlp/models/pos-tagger/english-left3words/english-left3words-distsim.tagger ... done [1.8 sec]. [main] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator lemma [main] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator ner [main] INFO edu.stanford.nlp.ie.AbstractSequenceClassifier - Loading classifier from edu/stanford/nlp/models/ner/english.all.3class.distsim.crf.ser.gz ... done [2.7 sec]. [main] INFO edu.stanford.nlp.ie.AbstractSequenceClassifier - Loading classifier from edu/stanford/nlp/models/ner/english.muc.7class.distsim.crf.ser.gz ... done [3.2 sec]. [main] INFO edu.stanford.nlp.ie.AbstractSequenceClassifier - Loading classifier from edu/stanford/nlp/models/ner/english.conll.4class.distsim.crf.ser.gz ... done [1.3 sec]. [main] INFO edu.stanford.nlp.time.JollyDayHolidays
- Initializing JollyDayHoliday for SUTime from classpath edu/stanford/nlp/models/sutime/jollyday/Holidays_sutime.xml as sutime.binder.1. [main] INFO edu.stanford.nlp.time.TimeExpressionExtractorImpl - Using following SUTime rules: edu/stanford/nlp/models/sutime/defs.sutime.txt,edu/stanford/nlp/models/sutime/english.sutime.txt,edu/stanford/nlp/models/sutime/english.holidays.sutime.txt [main] INFO edu.stanford.nlp.pipeline.TokensRegexNERAnnotator - ner.fine.regexner: Read 580704 unique entries out of 581863 from edu/stanford/nlp/models/kbp/english/gazetteers/regexner_caseless.tab, 0 TokensRegex patterns. [main] INFO edu.stanford.nlp.pipeline.TokensRegexNERAnnotator - ner.fine.regexner: Read 4869 unique entries out of 4869 from edu/stanford/nlp/models/kbp/english/gazetteers/regexner_cased.tab, 0 TokensRegex patterns. [main] INFO edu.stanford.nlp.pipeline.TokensRegexNERAnnotator - ner.fine.regexner: Read 585573 unique entries from 2 files [main] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator depparse [main] INFO edu.stanford.nlp.parser.nndep.DependencyParser - Loading depparse model: edu/stanford/nlp/models/parser/nndep/english_UD.gz ... Exception in thread "main" java.lang.OutOfMemoryError: Java heap space at edu.stanford.nlp.parser.nndep.Classifier.initGradientHistories(Classifier.java:607) at edu.stanford.nlp.parser.nndep.Classifier.<init>(Classifier.java:141) at edu.stanford.nlp.parser.nndep.Classifier.<init>(Classifier.java:116) at edu.stanford.nlp.parser.nndep.DependencyParser.loadModelFile(DependencyParser.java:624) at edu.stanford.nlp.parser.nndep.DependencyParser.loadFromModelFile(DependencyParser.java:499) at edu.stanford.nlp.pipeline.DependencyParseAnnotator.<init>(DependencyParseAnnotator.java:57) at edu.stanford.nlp.pipeline.AnnotatorImplementations.dependencies(AnnotatorImplementations.java:240) at edu.stanford.nlp.pipeline.StanfordCoreNLP.lambda$getNamedAnnotators$18(StanfordCoreNLP.java:536) at edu.stanford.nlp.pipeline.StanfordCoreNLP$$Lambda$29/41903949.apply(Unknown Source) at edu.stanford.nlp.pipeline.StanfordCoreNLP.lambda$null$30(StanfordCoreNLP.java:602) at edu.stanford.nlp.pipeline.StanfordCoreNLP$$Lambda$38/1060830840.get(Unknown Source) at edu.stanford.nlp.util.Lazy$3.compute(Lazy.java:126) at edu.stanford.nlp.util.Lazy.get(Lazy.java:31) at edu.stanford.nlp.pipeline.AnnotatorPool.get(AnnotatorPool.java:149) at edu.stanford.nlp.pipeline.StanfordCoreNLP.<init>(StanfordCoreNLP.java:251) at edu.stanford.nlp.pipeline.StanfordCoreNLP.<init>(StanfordCoreNLP.java:192) at edu.stanford.nlp.pipeline.StanfordCoreNLP.<init>(StanfordCoreNLP.java:188) at edu.stanford.nlp.pipeline.StanfordCoreNLP.main(StanfordCoreNLP.java:1388)