我在使用java语言在eclipse中工作但写错时我有错误 用于标记文本的POS standford api代码。 PLZ,任何人都可以帮助我 错误如下
"Exception in thread "main" java.lang.NoClassDefFoundError:
org/slf4j/LoggerFactory at edu.stanford.nlp.pipeline.StanfordCoreNLP.
(StanfordCore.<clinit>(StanfordCoreNLP.java:99)
at tweetfileanalysis.TweetPOS.tweettag(TweetPOS.java:23)
at tweetfileanalysis.ReadJson.readJsonf(ReadJson.java:288)
at tweetfileanalysis.Mainclass.main(Mainclass.java:17)
Caused by: java.lang.ClassNotFoundException: org.slf4j.LoggerFactory
at java.base/jdk.internal.loader.BuiltinClassLoader.loadClass(Unknown Source)
at java.base/jdk.internal.loader.ClassLoaders$AppClassLoader.loadClass(Unknown
Source)
at java.base/java.lang.ClassLoader.loadClass(Unknown Source)
... 4 more
我使用configure build path放置所有库,那么我该如何解决类代码的错误如下:
package tweetfileanalysis;
import edu.stanford.nlp.ie.util.RelationTriple;
import edu.stanford.nlp.ling.CoreAnnotations;
import edu.stanford.nlp.pipeline.Annotation;
import edu.stanford.nlp.pipeline.StanfordCoreNLP;
import edu.stanford.nlp.naturalli.NaturalLogicAnnotations;
import edu.stanford.nlp.util.CoreMap;
import java.util.Collection;
import java.util.Properties;
public class TweetPOS{
public TweetPOS()
{}
public static void tweettag(String tweet)
{
// Create the Stanford CoreNLP pipeline
Properties props = new Properties();
props.getProperty("annotators",
"tokenize,ssplit,pos,lemma,depparse,natlog,openie");
StanfordCoreNLP pipeline = new StanfordCoreNLP(props);
// Annotate an example document.
Annotation doc = new Annotation("Obama was born in Hawaii. He is our
president.");
pipeline.annotate(doc);
System.out.println("fhfbg");
// Loop over sentences in the document
for (CoreMap sentence :
doc.get(CoreAnnotations.SentencesAnnotation.class)) {
// Get the OpenIE triples for the sentence
Collection<RelationTriple> triples =
sentence.get(NaturalLogicAnnotations.RelationTriplesAnnotation.class);
// Print the triples
System.out.println("uuuuuuuuuuuuuuuuuuu");
for (RelationTriple triple : triples) {
System.out.println(triple.confidence + "\t" +
triple.subjectLemmaGloss() + "\t" +
triple.relationLemmaGloss() + "\t" +
triple.objectLemmaGloss());
}
}
}
}