问题标签 [clearnlp]
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java - 如何使用 ClearNLP 反序列化 CoNLL 格式的依赖树？
使用 ClearNLP 进行依赖解析会创建一个DEPTree对象。我已经解析了一个大型语料库并以 CoNLL 格式序列化了所有数据（例如，Google 代码上的这个 ClearNLP 页面）。
但我不知道如何反序列化它们。ClearNLP 提供了一种DEPTree#toStringCoNLL()方法（向下滚动此页面查看）。我正在寻找一些东西来读取 CoNLL 格式的解析树并创建一个DEPTree对象。我试图对其进行逆向工程，但并没有真正理解代码的内部工作原理。
相反，我创建了自己的依赖树类来处理我需要的基本功能，但我真的很想知道如何获取DEPTree对象。到目前为止，我还没有在他们的 API 中找到任何这样做的方法。
java - ClearNLP (NLP4J) 解析器错误执行
我正在尝试使用 ClearParser 进行训练，但出现此错误。在执行命令之前，我把 exportCLASSPATH=nlp4j-1.1.0.jar:.和做java edu.emory.mathcs.nlp.bin.Version我得到了版本信息，所以它安装正确。
命令行：java -Xmx5g -XX:+UseConcMarkSweepGC edu.emory.mathcs.nlp.bin.NLPTrain -mode dep -c config-train-dep.xml -t /home/iago/Escritorio/idiomasClearParser/UD_English/en-ud-train.conllu -d /home/iago/Escritorio/idiomasClearParser/UD_English/en-ud-dev.conllu -m bestModel-dep.xz
Error: log4j:WARN No appenders could be found for logger (edu.emory.mathcs.nlp.common.util.BinUtils). log4j:WARN Please initialize the log4j system properly. log4j:WARN See http://logging.apache.org/log4j/1.2/faq.html#noconfig for more info. java.io.FileNotFoundException: edu/emory/mathcs/nlp/lexica/en-brown-clusters-simplified-lowercase.xz (No existe el archivo o el directorio) at java.io.FileInputStream.open0(Native Method) at java.io.FileInputStream.open(FileInputStream.java:195) at java.io.FileInputStream.<init>(FileInputStream.java:138) at java.io.FileInputStream.<init>(FileInputStream.java:93) at edu.emory.mathcs.nlp.common.util.IOUtils.createFileInputStream(IOUtils.java:147) at edu.emory.mathcs.nlp.common.util.IOUtils.getInputStream(IOUtils.java:316) at edu.emory.mathcs.nlp.component.template.util.GlobalLexica.getLexiconFieldPair(GlobalLexica.java:82) at edu.emory.mathcs.nlp.component.template.util.GlobalLexica.getLexiconFieldPair(GlobalLexica.java:72) at edu.emory.mathcs.nlp.component.template.util.GlobalLexica.<init>(GlobalLexica.java:64) at edu.emory.mathcs.nlp.component.template.util.GlobalLexica.<init>(GlobalLexica.java:55) at edu.emory.mathcs.nlp.bin.NLPTrain$1.createGlobalLexica(NLPTrain.java:108) at edu.emory.mathcs.nlp.component.template.train.OnlineTrainer.train(OnlineTrainer.java:193) at edu.emory.mathcs.nlp.component.template.train.OnlineTrainer.train(OnlineTrainer.java:187) at edu.emory.mathcs.nlp.bin.NLPTrain.train(NLPTrain.java:76) at edu.emory.mathcs.nlp.bin.NLPTrain.main(NLPTrain.java:115) java.io.IOException: Stream closed at java.io.BufferedInputStream.getInIfOpen(BufferedInputStream.java:159) at java.io.BufferedInputStream.fill(BufferedInputStream.java:246) at java.io.BufferedInputStream.read1(BufferedInputStream.java:286) at java.io.BufferedInputStream.read(BufferedInputStream.java:345) at java.io.DataInputStream.readFully(DataInputStream.java:195) at java.io.DataInputStream.readFully(DataInputStream.java:169) at org.tukaani.xz.SingleXZInputStream.initialize(Unknown Source) at org.tukaani.xz.SingleXZInputStream.<init>(Unknown Source) at org.tukaani.xz.XZInputStream.<init>(Unknown Source) at org.tukaani.xz.XZInputStream.<init>(Unknown Source) at edu.emory.mathcs.nlp.common.util.IOUtils.createXZBufferedInputStream(IOUtils.java:220) at edu.emory.mathcs.nlp.common.util.IOUtils.createObjectXZBufferedInputStream(IOUtils.java:259) at edu.emory.mathcs.nlp.component.template.util.GlobalLexica.getLexiconFieldPair(GlobalLexica.java:82) at edu.emory.mathcs.nlp.component.template.util.GlobalLexica.getLexiconFieldPair(GlobalLexica.java:72) at edu.emory.mathcs.nlp.component.template.util.GlobalLexica.<init>(GlobalLexica.java:64) at edu.emory.mathcs.nlp.component.template.util.GlobalLexica.<init>(GlobalLexica.java:55) at edu.emory.mathcs.nlp.bin.NLPTrain$1.createGlobalLexica(NLPTrain.java:108) at edu.emory.mathcs.nlp.component.template.train.OnlineTrainer.train(OnlineTrainer.java:193) at edu.emory.mathcs.nlp.component.template.train.OnlineTrainer.train(OnlineTrainer.java:187) at edu.emory.mathcs.nlp.bin.NLPTrain.train(NLPTrain.java:76) at edu.emory.mathcs.nlp.bin.NLPTrain.main(NLPTrain.java:115) Exception in thread "main" java.lang.NullPointerException at java.io.ObjectInputStream$PeekInputStream.read(ObjectInputStream.java:2338) at java.io.ObjectInputStream$PeekInputStream.readFully(ObjectInputStream.java:2351) at java.io.ObjectInputStream$BlockDataInputStream.readShort(ObjectInputStream.java:2822) at java.io.ObjectInputStream.readStreamHeader(ObjectInputStream.java:804) at java.io.ObjectInputStream.<init>(ObjectInputStream.java:301) at edu.emory.mathcs.nlp.common.util.IOUtils.createObjectXZBufferedInputStream(IOUtils.java:259) at edu.emory.mathcs.nlp.component.template.util.GlobalLexica.getLexiconFieldPair(GlobalLexica.java:82) at edu.emory.mathcs.nlp.component.template.util.GlobalLexica.getLexiconFieldPair(GlobalLexica.java:72) at edu.emory.mathcs.nlp.component.template.util.GlobalLexica.<init>(GlobalLexica.java:64) at edu.emory.mathcs.nlp.component.template.util.GlobalLexica.<init>(GlobalLexica.java:55) at edu.emory.mathcs.nlp.bin.NLPTrain$1.createGlobalLexica(NLPTrain.java:108) at edu.emory.mathcs.nlp.component.template.train.OnlineTrainer.train(OnlineTrainer.java:193) at edu.emory.mathcs.nlp.component.template.train.OnlineTrainer.train(OnlineTrainer.java:187) at edu.emory.mathcs.nlp.bin.NLPTrain.train(NLPTrain.java:76) at edu.emory.mathcs.nlp.bin.NLPTrain.main(NLPTrain.java:115)
为什么我会收到此错误？我解压了 .jar，没有“lexica”文件夹，也没有“en-brown-clusters-simplified-lowercase.xz”。我在哪里可以找到它？
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