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);
}
}
}
這是形式的斯坦福大學的網站上的例子,我試圖從文件中讀取內容,我得到的線以下異常的StanfordCoreNLP(道具)構造函數:StanfordCoreNLP的NoSuchMethodError
線程「主」中的異常
java.lang.NoSuchMethodError: edu.stanford.nlp.util.Generics.newHashMap()Ljava/util/Map; at edu.stanford.nlp.pipeline.AnnotatorPool.(AnnotatorPool.java:27) at edu.stanford.nlp.pipeline.StanfordCoreNLP.getDefaultAnnotatorPool(StanfordCoreNLP.java:303) at edu.stanford.nlp.pipeline.StanfordCoreNLP.construct(StanfordCoreNLP.java:256) at edu.stanford.nlp.pipeline.StanfordCoreNLP.(StanfordCoreNLP.java:129) at edu.stanford.nlp.pipeline.StanfordCoreNLP.(StanfordCoreNLP.java:125) at Stanforder.main(Stanforder.java:35)
任何幫助表示讚賞。謝謝!
這意味着你有一組不一致的編譯類。在那裏,有一個類的方法的調用,但該方法不再存在。通常情況下,編譯器會檢查,但如果你用沒有這個方法的類替換正確的類,你會得到這個'NoSuchMethodError'。 – laune