如何使用 stanford-nlp 提供的 OpenIEDemo.java 生成自定义三元组

Question

我已经训练了自定义 NER 和关系提取模型，并且我已经检查了使用 corenlp 服务器生成三元组但是当我使用 OpenIEDemo.java 要生成三元组，它会生成仅具有 "has" 和 "have" 关系的三元组，而不是我训练关系提取模型所依据的关系。

我正在加载自定义 NER 和关系提取模型，同时运行使用相同的脚本。这是我的 OpenIEDemo.java 文件...

package edu.stanford.nlp.naturalli;

import edu.stanford.nlp.ie.util.RelationTriple;
import edu.stanford.nlp.io.IOUtils;
import edu.stanford.nlp.ling.CoreAnnotations;
import edu.stanford.nlp.pipeline.Annotation;
import edu.stanford.nlp.pipeline.StanfordCoreNLP;
import edu.stanford.nlp.semgraph.SemanticGraph;
import edu.stanford.nlp.semgraph.SemanticGraphCoreAnnotations;
import edu.stanford.nlp.util.CoreMap;
import edu.stanford.nlp.util.PropertiesUtils;

import java.util.Collection;
import java.util.List;
import java.util.Properties;

/**
 * A demo illustrating how to call the OpenIE system programmatically.
 * You can call this code with:
 *
 * <pre>
 *   java -mx1g -cp stanford-openie.jar:stanford-openie-models.jar edu.stanford.nlp.naturalli.OpenIEDemo
 * </pre>
 *
 */
public class OpenIEDemo {

  private OpenIEDemo() {} // static main

  public static void main(String[] args) throws Exception {

    Properties props = new Properties();
    props.setProperty("annotators", "tokenize, ssplit, pos, lemma, depparse, natlog, openie");
    props.setProperty("ner.model", "./ner/ner-model.ser.gz");
    props.setProperty("sup.relation.model", "./relation_extractor/relation_model_pipeline.ser.ser");
    StanfordCoreNLP pipeline = new StanfordCoreNLP(props);

    // Annotate an example document.
    String text;
    if (args.length > 0) {
      text = args[0];
    } else {
      text = "Obama was born in Hawaii. He is our president.";
    }
    Annotation doc = new Annotation(text);
    pipeline.annotate(doc);

    // Loop over sentences in the document
    int sentNo = 0;
    for (CoreMap sentence : doc.get(CoreAnnotations.SentencesAnnotation.class)) {
      System.out.println("Sentence #" + ++sentNo + ": " + sentence.get(CoreAnnotations.TextAnnotation.class));

      // Print SemanticGraph
      System.out.println(sentence.get(SemanticGraphCoreAnnotations.EnhancedDependenciesAnnotation.class).toString(SemanticGraph.OutputFormat.LIST));

      // 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());
      }

      // Alternately, to only run e.g., the clause splitter:
      List<SentenceFragment> clauses = new OpenIE(props).clausesInSentence(sentence);
      for (SentenceFragment clause : clauses) {
        System.out.println(clause.parseTree.toString(SemanticGraph.OutputFormat.LIST));
      }
      System.out.println();
    }
  }
}

提前致谢。

Answer 1

由于 stanfordCoreNLP 的 OpenIE 模块不使用自定义关系模型（不知道为什么）我不能将自定义关系提取模型与此代码一起使用，我不得不运行 SanfordCoreNLP 管道为我的自定义 NER 添加路径和 server.properties 文件中的关系提取模型并生成三元组。如果有人知道 OpenIE 不使用自定义关系提取模型的原因，请发表评论，这对其他人非常有用。

如何使用 stanford-nlp 提供的 OpenIEDemo.java 生成自定义三元组

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