本文介绍了斯坦福NER错误：加载distsim词典失败的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！
问题描述
在我的项目中。我需要使用NER注释，所以我使用了NERDemo.java
当我创建一个新项目并且只有这个代码时，它工作正常，但是当我将它添加到我的项目时，我不断收到错误。我已将代码中的路径编辑到分类器的特定位置。
In my project. I need to use NER annotation so I used NERDemo.javaIt works fine when I create a new project and have only this code, but when I add it to my project I keep getting errors. I have edited the path in my code to the specific location of the classifiers.
我添加了Jar文件：
这是代码：
String serializedClassifier = "/Users/ha/stanford-ner-2014-10-26/classifiers/english.all.3class.distsim.crf.ser.gz";
String serializedClassifier2 = "/Users/ha/stanford-ner-2014-10-26/classifiers/english.muc.7class.distsim.crf.ser.gz";
if (args.length > 0) {
serializedClassifier = args[0];
}
NERClassifierCombiner classifier = new NERClassifierCombiner(false, false, serializedClassifier, serializedClassifier2);
String fileContents = IOUtils.slurpFile("/Users/ha/NetBeansProjects/StanfordPOSCode/src/stanfordposcode/input.txt");
List<List<CoreLabel>> out = classifier.classify(fileContents);
int i = 0;
for (List<CoreLabel> lcl : out) {
i++;
int j = 0;
for (CoreLabel cl : lcl) {
j++;
System.out.printf("%d:%d: %s%n", i, j,
cl.toShorterString("Text", "CharacterOffsetBegin", "CharacterOffsetEnd", "NamedEntityTag"));
}
}
但我收到此错误：
run:
Loading classifier from /Users/ha/stanford-ner-2014-10-26/classifiers/english.all.3class.distsim.crf.ser.gz ... Loading distsim lexicon from /u/nlp/data/pos_tags_are_useless/egw4-reut.512.clusters ... java.lang.RuntimeException: java.io.FileNotFoundException: /u/nlp/data/pos_tags_are_useless/egw4-reut.512.clusters (No such file or directory)
at edu.stanford.nlp.objectbank.ReaderIteratorFactory$ReaderIterator.setNextObject(ReaderIteratorFactory.java:225)
at edu.stanford.nlp.objectbank.ReaderIteratorFactory$ReaderIterator.<init>(ReaderIteratorFactory.java:161)
at edu.stanford.nlp.objectbank.ReaderIteratorFactory.iterator(ReaderIteratorFactory.java:98)
at edu.stanford.nlp.objectbank.ObjectBank$OBIterator.<init>(ObjectBank.java:404)
at edu.stanford.nlp.objectbank.ObjectBank.iterator(ObjectBank.java:242)
at edu.stanford.nlp.ie.NERFeatureFactory.initLexicon(NERFeatureFactory.java:471)
at edu.stanford.nlp.ie.NERFeatureFactory.init(NERFeatureFactory.java:379)
at edu.stanford.nlp.ie.AbstractSequenceClassifier.reinit(AbstractSequenceClassifier.java:171)
at edu.stanford.nlp.ie.crf.CRFClassifier.loadClassifier(CRFClassifier.java:2630)
at edu.stanford.nlp.ie.AbstractSequenceClassifier.loadClassifier(AbstractSequenceClassifier.java:1620)
at edu.stanford.nlp.ie.AbstractSequenceClassifier.loadClassifier(AbstractSequenceClassifier.java:1736)
at edu.stanford.nlp.ie.AbstractSequenceClassifier.loadClassifier(AbstractSequenceClassifier.java:1679)
at edu.stanford.nlp.ie.AbstractSequenceClassifier.loadClassifier(AbstractSequenceClassifier.java:1662)
at edu.stanford.nlp.ie.crf.CRFClassifier.getClassifier(CRFClassifier.java:2851)
at edu.stanford.nlp.ie.ClassifierCombiner.loadClassifierFromPath(ClassifierCombiner.java:189)
at edu.stanford.nlp.ie.ClassifierCombiner.loadClassifiers(ClassifierCombiner.java:173)
at edu.stanford.nlp.ie.ClassifierCombiner.<init>(ClassifierCombiner.java:125)
at edu.stanford.nlp.ie.NERClassifierCombiner.<init>(NERClassifierCombiner.java:52)
at stanfordposcode.MultipleNERs.main(MultipleNERs.java:24)
Caused by: java.io.FileNotFoundException: /u/nlp/data/pos_tags_are_useless/egw4-reut.512.clusters (No such file or directory)
at java.io.FileInputStream.open(Native Method)
at java.io.FileInputStream.<init>(FileInputStream.java:131)
at edu.stanford.nlp.io.EncodingFileReader.<init>(EncodingFileReader.java:78)
at edu.stanford.nlp.objectbank.ReaderIteratorFactory$ReaderIterator.setNextObject(ReaderIteratorFactory.java:192)
... 18 more
Loading classifier from /Users/ha/stanford-ner-2014-10-26/classifiers/english.all.3class.distsim.crf.ser.gz ... Exception in thread "main" java.io.FileNotFoundException
at edu.stanford.nlp.ie.ClassifierCombiner.loadClassifierFromPath(ClassifierCombiner.java:199)
at edu.stanford.nlp.ie.ClassifierCombiner.loadClassifiers(ClassifierCombiner.java:173)
at edu.stanford.nlp.ie.ClassifierCombiner.<init>(ClassifierCombiner.java:125)
at edu.stanford.nlp.ie.NERClassifierCombiner.<init>(NERClassifierCombiner.java:52)
at stanfordposcode.MultipleNERs.main(MultipleNERs.java:24)
Caused by: java.lang.ClassCastException: java.util.ArrayList cannot be cast to edu.stanford.nlp.classify.LinearClassifier
at edu.stanford.nlp.ie.ner.CMMClassifier.loadClassifier(CMMClassifier.java:1070)
at edu.stanford.nlp.ie.AbstractSequenceClassifier.loadClassifier(AbstractSequenceClassifier.java:1620)
at edu.stanford.nlp.ie.AbstractSequenceClassifier.loadClassifier(AbstractSequenceClassifier.java:1736)
at edu.stanford.nlp.ie.AbstractSequenceClassifier.loadClassifier(AbstractSequenceClassifier.java:1679)
at edu.stanford.nlp.ie.AbstractSequenceClassifier.loadClassifier(AbstractSequenceClassifier.java:1662)
at edu.stanford.nlp.ie.ner.CMMClassifier.getClassifier(CMMClassifier.java:1116)
at edu.stanford.nlp.ie.ClassifierCombiner.loadClassifierFromPath(ClassifierCombiner.java:195)
... 4 more
Java Result: 1
BUILD SUCCESSFUL (total time: 1 second)
推荐答案
你正在混合和匹配版本3.4中的代码和版本3.5中的模型。我建议将所有内容升级到最新版本。
You are mixing and matching the code from version 3.4 and the models from version 3.5. I suggest upgrading everything to the latest version.
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