import java.io.BufferedReader;
import java.io.File;
import java.io.FileReader;
import java.io.IOException;
import java.util.List;
import java.util.Properties;
import java.util.Map;
import edu.stanford.nlp.ling.CoreAnnotations.NamedEntityTagAnnotation;
import edu.stanford.nlp.ling.CoreAnnotations.PartOfSpeechAnnotation;
import edu.stanford.nlp.ling.CoreAnnotations.SentencesAnnotation;
import edu.stanford.nlp.ling.CoreAnnotations.TextAnnotation;
import edu.stanford.nlp.ling.CoreAnnotations.TokensAnnotation;
import edu.stanford.nlp.ling.CoreLabel;
import edu.stanford.nlp.pipeline.Annotation;
import edu.stanford.nlp.pipeline.StanfordCoreNLP;
import edu.stanford.nlp.semgraph.SemanticGraph;
import edu.stanford.nlp.semgraph.SemanticGraphCoreAnnotations.CollapsedCCProcessedDependenciesAnnotation;
import edu.stanford.nlp.trees.Tree;
import edu.stanford.nlp.trees.TreeCoreAnnotations.TreeAnnotation;
import edu.stanford.nlp.util.CoreMap;
public class Stanforder {
/**
* @param args
*/
public static void main(String[] args) {
// TODO Auto-generated method stub
// creates a StanfordCoreNLP object, with POS tagging, lemmatization, NER, parsing, and coreference resolution
Properties props = new Properties();
props.put("annotators", "tokenize, ssplit, pos, lemma, ner, parse, dcoref");
StanfordCoreNLP pipeline = new StanfordCoreNLP(props);
String text = "";
File myFile = new File("C:\\master\\stanford\\txt\\43711.txt");
try {
BufferedReader br = new BufferedReader(new FileReader(myFile));
try {
StringBuilder sb = new StringBuilder();
String line = br.readLine();
while (line != null) {
sb.append(line);
//sb.append(System.lineSeparator());
line = br.readLine();
}
text = sb.toString();
} catch (Exception e){
e.printStackTrace();
} finally {
try {
br.close();
} catch (IOException e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
}
} catch(Exception e){
e.printStackTrace();
}
System.out.println(text);
// read some text in the text variable
// Add your text here!
// create an empty Annotation just with the given text
Annotation document = new Annotation(text);
// run all Annotators on this text
pipeline.annotate(document);
// these are all the sentences in this document
// a CoreMap is essentially a Map that uses class objects as keys and has values with custom types
List<CoreMap> sentences = document.get(SentencesAnnotation.class);
for(CoreMap sentence: sentences) {
// traversing the words in the current sentence
// a CoreLabel is a CoreMap with additional token-specific methods
for (CoreLabel token: sentence.get(TokensAnnotation.class)) {
// this is the text of the token
String word = token.get(TextAnnotation.class);
// this is the POS tag of the token
String pos = token.get(PartOfSpeechAnnotation.class);
// this is the NER label of the token
String ne = token.get(NamedEntityTagAnnotation.class);
}
// this is the parse tree of the current sentence
Tree tree = sentence.get(TreeAnnotation.class);
// this is the Stanford dependency graph of the current sentence
SemanticGraph dependencies = sentence.get(CollapsedCCProcessedDependenciesAnnotation.class);
}
}
}
这是Stanford网站的示例表单,我试图从文件中读取内容,并且在调用StanfordCoreNLP(props)构造函数的行上收到以下Exception:
线程“主”中的异常
java.lang.NoSuchMethodError:
edu.stanford.nlp.util.Generics.newHashMap()Ljava / util / Map;在
edu.stanford.nlp.pipeline.AnnotatorPool。(AnnotatorPool.java:27)
在
edu.stanford.nlp.pipeline.StanfordCoreNLP.getDefaultAnnotatorPool(StanfordCoreNLP.java:303)
在
edu.stanford.nlp.pipeline.StanfordCoreNLP.construct(StanfordCoreNLP.java:256)
在
edu.stanford.nlp.pipeline.StanfordCoreNLP。(StanfordCoreNLP.java:129)
在
edu.stanford.nlp.pipeline.StanfordCoreNLP。(StanfordCoreNLP.java:125)
在Stanforder.main(Stanforder.java:35)
任何帮助表示赞赏。谢谢!
最佳答案
请参阅第9个问题
http://nlp.stanford.edu/software/corenlp-faq.shtml#nosuchmethoderror
它说,
“这是因为您还有一个或多个斯坦福大学自然语言处理的旧版本
类路径上的工具”
还要看看
https://mailman.stanford.edu/pipermail/java-nlp-user/2013-November/004357.html
其中说,
显然有一些jar文件不兼容。你有大一点吗
您的类路径中我们工具的版本?