Java ClassNotFoundException:edu.stanford.nlp.tagger.maxent.ExtractorNonAlphanumeric

我尝试在本页上编译并运行一个斯坦福NLP java示例：（第一个示例BasicPelineExample）

据说这个例子是为3.9.0开发的，但我在任何地方都找不到，所以我使用3.9.2

我在简单的scala构建工具下运行代码，因为进一步的工作将用scala编写

我的build.sbt在这里：

name := "nlpexp"

version := "1.0"

scalaVersion := "2.12.10"

resolvers += "Typesafe Repository" at "http://repo.typesafe.com/typesafe/releases/"

val stanford_corenlpV = "3.9.2"
val AppleJavaExtensionsV = "1.4"
val jollydayV = "0.4.9"
val commons_lang3V = "3.3.1"
val lucene_queryparserV = "4.10.3"
val lucene_analyzers_commonV = "4.10.3"
val lucene_queriesV = "4.10.3"
val lucene_coreV = "4.10.3"
val javax_servlet_apiV = "3.0.1"
val xomV = "1.2.10"
val joda_timeV = "2.9.4"
val ejmlV = "0.23"
val javax_jsonV = "1.0.4"
val slf4j_apiV = "1.7.12"
val protobuf_javaV = "3.2.0"
val junitV = "4.12"
val junit_quickcheck_coreV = "0.5"
val junit_quickcheck_generatorsV = "0.5"
val javax_activation_apiV = "1.2.0"
val jaxb_apiV = "2.4.0-b180830.0359"
val jaxb_coreV = "2.3.0.1"
val jaxb_implV = "2.4.0-b180830.0438"

val logbackVersion = "1.2.3"

libraryDependencies ++= Seq(
  "ch.qos.logback" % "logback-classic" % logbackVersion withSources() withJavadoc(), //
  "ch.qos.logback" % "logback-core" % logbackVersion withSources() withJavadoc(), //
  "ch.qos.logback" % "logback-access" % logbackVersion withSources() withJavadoc(), //

  "com.apple" % "AppleJavaExtensions" % AppleJavaExtensionsV withJavadoc(),
  "de.jollyday" % "jollyday" % jollydayV withSources() withJavadoc(),
  "org.apache.commons" % "commons-lang3" % commons_lang3V withSources() withJavadoc(),
  "org.apache.lucene" % "lucene-queryparser" % lucene_queryparserV withSources() withJavadoc(),
  "org.apache.lucene" % "lucene-analyzers-common" % lucene_analyzers_commonV withSources() withJavadoc(),
  "org.apache.lucene" % "lucene-queries" % lucene_queriesV withSources() withJavadoc(),
  "org.apache.lucene" % "lucene-core" % lucene_coreV withSources() withJavadoc(),
  "javax.servlet" % "javax.servlet-api" % javax_servlet_apiV withSources() withJavadoc(),
  "com.io7m.xom" % "xom" % xomV withSources() withJavadoc(),
  "joda-time" % "joda-time" % joda_timeV withSources() withJavadoc(),
  "com.googlecode.efficient-java-matrix-library" % "ejml" % ejmlV withSources() withJavadoc(),
  "org.glassfish" % "javax.json" % javax_jsonV withSources() withJavadoc(),
  "org.slf4j" % "slf4j-api" % slf4j_apiV withSources() withJavadoc(),
  "com.google.protobuf" % "protobuf-java" % protobuf_javaV withSources() withJavadoc(),
  "junit" % "junit" % junitV  % "test" withSources() withJavadoc(),
  "com.pholser" % "junit-quickcheck-core" % junit_quickcheck_coreV % "test" withSources() withJavadoc(),
  "com.pholser" % "junit-quickcheck-generators" % junit_quickcheck_generatorsV % "test" withSources() withJavadoc(),
  "javax.activation" % "javax.activation-api" % javax_activation_apiV withSources() withJavadoc(),
  "javax.xml.bind" % "jaxb-api" % jaxb_apiV withSources() withJavadoc(),
  "com.sun.xml.bind" % "jaxb-core" % jaxb_coreV withSources() withJavadoc(),
  "com.sun.xml.bind" % "jaxb-impl" % jaxb_implV withSources() withJavadoc(),
"edu.stanford.nlp" % "stanford-corenlp" % stanford_corenlpV withSources() withJavadoc()
)

scalacOptions += "-deprecation"

我还下载了以下JAR：

-rw-rw-r-- 1 jk jk  455928708 stanford-corenlp-models-current.jar
-rw-rw-r-- 1 jk jk 1238400073 stanford-english-corenlp-models-current.jar
-rw-rw-r-- 1 jk jk  473999694 stanford-english-kbp-corenlp-models-current.jar

它们位于非托管库的目录中，以便build可以找到它们

示例代码编译正常并开始运行，但在尝试加载pos注释器时失败

输出如下：

[info] Running nlpexp.BasicPipelineExample 
Starting
Create pipeline
23:30:09.569 [run-main-0] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator tokenize
23:30:09.587 [run-main-0] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator ssplit
23:30:09.592 [run-main-0] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator pos
[error] (run-main-0) edu.stanford.nlp.io.RuntimeIOException: Error while loading a tagger model (probably missing model file)
[error] edu.stanford.nlp.io.RuntimeIOException: Error while loading a tagger model (probably missing model file)
[error]     at edu.stanford.nlp.tagger.maxent.MaxentTagger.readModelAndInit(MaxentTagger.java:925)
[error]     at edu.stanford.nlp.tagger.maxent.MaxentTagger.readModelAndInit(MaxentTagger.java:823)
[error]     at edu.stanford.nlp.tagger.maxent.MaxentTagger.readModelAndInit(MaxentTagger.java:797)
[error]     at edu.stanford.nlp.tagger.maxent.MaxentTagger.<init>(MaxentTagger.java:320)
[error]     at edu.stanford.nlp.tagger.maxent.MaxentTagger.<init>(MaxentTagger.java:273)
[error]     at edu.stanford.nlp.pipeline.POSTaggerAnnotator.loadModel(POSTaggerAnnotator.java:85)
[error]     at edu.stanford.nlp.pipeline.POSTaggerAnnotator.<init>(POSTaggerAnnotator.java:73)
[error]     at edu.stanford.nlp.pipeline.AnnotatorImplementations.posTagger(AnnotatorImplementations.java:53)
[error]     at edu.stanford.nlp.pipeline.StanfordCoreNLP.lambda$getNamedAnnotators$3(StanfordCoreNLP.java:521)
[error]     at edu.stanford.nlp.pipeline.StanfordCoreNLP.lambda$null$30(StanfordCoreNLP.java:602)
[error]     at edu.stanford.nlp.util.Lazy$3.compute(Lazy.java:126)
[error]     at edu.stanford.nlp.util.Lazy.get(Lazy.java:31)
[error]     at edu.stanford.nlp.pipeline.AnnotatorPool.get(AnnotatorPool.java:149)
[error]     at edu.stanford.nlp.pipeline.StanfordCoreNLP.<init>(StanfordCoreNLP.java:251)
[error]     at edu.stanford.nlp.pipeline.StanfordCoreNLP.<init>(StanfordCoreNLP.java:192)
[error]     at edu.stanford.nlp.pipeline.StanfordCoreNLP.<init>(StanfordCoreNLP.java:188)
[error]     at nlpexp.BasicPipelineExample.main(BasicPipelineExample.java:31)
[error]     at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
[error]     at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
[error]     at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
[error]     at java.lang.reflect.Method.invoke(Method.java:498)
[error] Caused by: java.lang.ClassNotFoundException: edu.stanford.nlp.tagger.maxent.ExtractorNonAlphanumeric
[error]     at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
[error]     at java.lang.ClassLoader.loadClass(ClassLoader.java:419)
[error]     at java.lang.ClassLoader.loadClass(ClassLoader.java:352)
[error]     at java.lang.Class.forName0(Native Method)
[error]     at java.lang.Class.forName(Class.java:348)
[error]     at java.io.ObjectInputStream.resolveClass(ObjectInputStream.java:720)
[error]     at java.io.ObjectInputStream.readNonProxyDesc(ObjectInputStream.java:1923)
[error]     at java.io.ObjectInputStream.readClassDesc(ObjectInputStream.java:1806)
[error]     at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2097)
[error]     at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1625)
[error]     at java.io.ObjectInputStream.readArray(ObjectInputStream.java:2030)
[error]     at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1613)
[error]     at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2342)
[error]     at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2266)
[error]     at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2124)
[error]     at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1625)
[error]     at java.io.ObjectInputStream.readObject(ObjectInputStream.java:465)
[error]     at java.io.ObjectInputStream.readObject(ObjectInputStream.java:423)
[error]     at edu.stanford.nlp.tagger.maxent.MaxentTagger.readExtractors(MaxentTagger.java:628)
[error]     at edu.stanford.nlp.tagger.maxent.MaxentTagger.readModelAndInit(MaxentTagger.java:874)
[error]     at edu.stanford.nlp.tagger.maxent.MaxentTagger.readModelAndInit(MaxentTagger.java:823)
[error]     at edu.stanford.nlp.tagger.maxent.MaxentTagger.readModelAndInit(MaxentTagger.java:797)
[error]     at edu.stanford.nlp.tagger.maxent.MaxentTagger.<init>(MaxentTagger.java:320)
[error]     at edu.stanford.nlp.tagger.maxent.MaxentTagger.<init>(MaxentTagger.java:273)
[error]     at edu.stanford.nlp.pipeline.POSTaggerAnnotator.loadModel(POSTaggerAnnotator.java:85)
[error]     at edu.stanford.nlp.pipeline.POSTaggerAnnotator.<init>(POSTaggerAnnotator.java:73)
[error]     at edu.stanford.nlp.pipeline.AnnotatorImplementations.posTagger(AnnotatorImplementations.java:53)
[error]     at edu.stanford.nlp.pipeline.StanfordCoreNLP.lambda$getNamedAnnotators$3(StanfordCoreNLP.java:521)
[error]     at edu.stanford.nlp.pipeline.StanfordCoreNLP.lambda$null$30(StanfordCoreNLP.java:602)
[error]     at edu.stanford.nlp.util.Lazy$3.compute(Lazy.java:126)
[error]     at edu.stanford.nlp.util.Lazy.get(Lazy.java:31)
[error]     at edu.stanford.nlp.pipeline.AnnotatorPool.get(AnnotatorPool.java:149)
[error]     at edu.stanford.nlp.pipeline.StanfordCoreNLP.<init>(StanfordCoreNLP.java:251)
[error]     at edu.stanford.nlp.pipeline.StanfordCoreNLP.<init>(StanfordCoreNLP.java:192)
[error]     at edu.stanford.nlp.pipeline.StanfordCoreNLP.<init>(StanfordCoreNLP.java:188)
[error]     at nlpexp.BasicPipelineExample.main(BasicPipelineExample.java:31)
[error]     at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
[error]     at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
[error]     at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
[error]     at java.lang.reflect.Method.invoke(Method.java:498)
[error] Nonzero exit code: 1
[error] (Compile / run) Nonzero exit code: 1
[error] Total time: 41 s, completed Feb 22, 2020 11:30:10 PM
sbt:nlpexp> 

输出为：

sbt:nlpexp> run
Starting
Create pipeline
23:45:47.255 [run-main-1] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator tokenize
23:45:47.271 [run-main-1] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator ssplit
Create doc
Annotate doc
Example: token
he-4

Example: sentence
Joe Smith was born in California.

因此，似乎tokenize和ssplit注释器加载并运行正常，但pos可能无法加载

我是否仍然缺少一个或多个罐子，或者这里出现此错误的原因是什么

---

谢谢你的支持

我也遇到了同样的问题，只是最终解决了。 在回购主页面上有链接的模型，例如，此模型：， 相邻的链接与最新的当前代码（即Git回购协议的负责人）匹配，而不是像3.9.2这样的任何特定版本

要获取3.9.2版本的模型，必须从相应的models.jar获取：

<dependency>
<groupId>edu.stanford.nlp</groupId>
<artifactId>stanford-corenlp</artifactId>
<version>3.9.2</version>
<classifier>models</classifier>
</dependency>

edu.stanford.nlp
斯坦福大学科伦普
3.9.2
模型

如果您不想在构建中包含这个（非常胖的）jar，一个选项是首先构建包含此依赖项的jar，然后在本地~/.m2 repo（~/.m2/repositories/edu/stanford/nlp/stanford corenlp/3.9.2）中查找jar的安装位置，从这个jar中提取（通过jar xvf）您想要的模型，并在构建中包含这些模型（例如，将它们放在main/resources下），注释掉或从pom中删除上述依赖项，然后重新生成

<dependency>
<groupId>edu.stanford.nlp</groupId>
<artifactId>stanford-corenlp</artifactId>
<version>3.9.2</version>
<classifier>models</classifier>
</dependency>