我想要一个代码片段,它将输入一个句子或一组句子,并使用java中的Stanford CoreNLP包输出或提取三元组(主题,谓词和对象)
答案 0 :(得分:0)
您是在寻找OpenIE三元组还是更多结构化关系三元组(例如per:city_of_birth
之类的东西)?对于前者,OpenIE系统很可能是您正在寻找的:https://stanfordnlp.github.io/CoreNLP/openie.html。从那里复制示例:
import edu.stanford.nlp.ie.util.RelationTriple;
import edu.stanford.nlp.simple.*;
/**
* A demo illustrating how to call the OpenIE system programmatically.
*/
public class OpenIEDemo {
public static void main(String[] args) throws Exception {
// Create a CoreNLP document
Document doc = new Document("Obama was born in Hawaii. He is our president.");
// Iterate over the sentences in the document
for (Sentence sent : doc.sentences()) {
// Iterate over the triples in the sentence
for (RelationTriple triple : sent.openieTriples()) {
// Print the triple
System.out.println(triple.confidence + "\t" +
triple.subjectLemmaGloss() + "\t" +
triple.relationLemmaGloss() + "\t" +
triple.objectLemmaGloss());
}
}
}
}
或者,使用Annotators API:
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;
/**
* A demo illustrating how to call the OpenIE system programmatically.
*/
public class OpenIEDemo {
public static void main(String[] args) throws Exception {
// Create the Stanford CoreNLP pipeline
Properties props = new Properties();
props.setProperty("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);
// 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
for (RelationTriple triple : triples) {
System.out.println(triple.confidence + "\t" +
triple.subjectLemmaGloss() + "\t" +
triple.relationLemmaGloss() + "\t" +
triple.objectLemmaGloss());
}
}
}
}