stanford nlp核心出错 [英] Error in stanford nlp core

问题描述

我下载了stanford nlp，当我运行网站。

I downloaded the stanford nlp and when i run the code which is given in their website .

我在这一行收到错误：

     StanfordCoreNLP pipeline = new StanfordCoreNLP(props);

错误如下：

     Exception in thread "main" java.lang.NoClassDefFoundError: nu/xom/Node
    at sample1.main(sample1.java:35)
    Caused by: java.lang.ClassNotFoundException: nu.xom.Node
    at java.net.URLClassLoader$1.run(Unknown Source)
    at java.net.URLClassLoader$1.run(Unknown Source)
    at java.security.AccessController.doPrivileged(Native Method)
    at java.net.URLClassLoader.findClass(Unknown Source)
    at java.lang.ClassLoader.loadClass(Unknown Source)
    at sun.misc.Launcher$AppClassLoader.loadClass(Unknown Source)
    at java.lang.ClassLoader.loadClass(Unknown Source)
    ... 1 more

我使用eclipse，我应该做一些配置吗？请帮帮我吧！

I use eclipse , should i do some configuration ? Please help me out with it !

推荐答案

我已从您提供的链接下载了stanford-corenlp-2012-01-08.tgz。使用7-zip我没有压缩它，发现另一个名为stanford-corenlp-2012-01-08的压缩文件，并再次使用7-zip解压缩。内容如下所示：

I have downloaded the stanford-corenlp-2012-01-08.tgz from the link you provided. Using 7-zip I have uncompressed it and found another compressed file with name stanford-corenlp-2012-01-08 and again uncompressed it using 7-zip. The content is shown below:

然后我在eclipse中创建了一个新的Java项目，并在该项目中创建了一个新的文件夹lib并放入

Then I created a new Java Project in eclipse and created a new folder lib inside that project and put

• joda-time .jar


• stanford-corenlp-2011-12-27-models.jar


• stanford-corenlp-2012-01-08.jar


• xom.jar

• joda-time.jar
• stanford-corenlp-2011-12-27-models.jar
• stanford-corenlp-2012-01-08.jar
• xom.jar

jars到lib。然后将项目Java Build Path设置为这些jar。

jars to the lib. Then set the project Java Build Path to these jars.

接下来我用main方法创建了一个测试类。

Next I created a test class with main method.

import java.util.Properties;

import edu.stanford.nlp.pipeline.StanfordCoreNLP;


public class NLP {

    /**
     * @param args
     */
    public static void main(String[] args) {
        Properties props = new Properties();
        props.put("annotators", "tokenize, ssplit, pos, lemma, ner, parse, dcoref");
        StanfordCoreNLP coreNLP = new StanfordCoreNLP(props);
    }

}

最后运行应用程序。输出如下所示：

And lastly run the application. The output is depicted below:

它成功运行。

希望这会对你有帮助。

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