斯坦福CoreNLP：如何获得只有名称实体（OpenIE）的RelationTriple三元组？

Question

我目前正在寻找在CoreNLP开放信息抽取（OpenIE）的关系三元组（主语，谓语，宾语），其中包含在主题只有NameEntities和对象类型。但我不知道如何获取RelationTriple对象的实体类型，即List<CoreMap>。

下面是从https://stanfordnlp.github.io/CoreNLP/openie.html代码：

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) { 
     // Here is where I get the entity type from a triple's subject or object 
     System.out.println(triple.confidence + "\t" + 
      triple.subjectLemmaGloss() + "\t" + 
      triple.relationLemmaGloss() + "\t" + 
      triple.objectLemmaGloss()); 
     } 
    } 
    } 
} 

如果存在某种方式来获得RelationTriple类实体类型我会的帮助表示感谢。

Answer 1

subject和object实例变量应该是列表CoreLabl s，它们通过#ner()方法命名实体信息。像下面这样的东西应该做你想做的：

Collection<RelationTriple> triples = sentence.get(RelationTriplesAnnotation.class); 
List<RelationTriple> withNE = triples.stream() 
    // make sure the subject is entirely named entities 
    .filter(triple -> 
     triple.subject.stream().noneMatch(token -> "O".equals(token.ner()))) 
    // make sure the object is entirely named entities 
    .filter(triple -> 
     triple.object.stream().noneMatch(token -> "O".equals(token.ner()))) 
    // Convert the stream back to a list 
    .collect(Collectors.toList());