Question

我很熟悉groovy，我正在尝试将DKPro Core用于一些nlp的东西。在这一点上，我试图识别一段文字中的名称短语。我可以正确识别标记语句和命名实体，但由于某种原因，同样不适用于NP类。我的代码如下所示，请指出错误。

#!/usr/bin/env groovy
@Grab(group='de.tudarmstadt.ukp.dkpro.core', version='1.5.0',
      module='de.tudarmstadt.ukp.dkpro.core.stanfordnlp-gpl')
@Grab(group='de.tudarmstadt.ukp.dkpro.core',
    module='de.tudarmstadt.ukp.dkpro.core.io.text-asl',
    version='1.5.0')
@Grab(group='de.tudarmstadt.ukp.dkpro.core',
    module='de.tudarmstadt.ukp.dkpro.core.opennlp-asl',
    version='1.5.0')
@Grab(group='de.tudarmstadt.ukp.dkpro.core',
    module='de.tudarmstadt.ukp.dkpro.core.io.text-asl',
    version='1.5.0')
@Grab(group='de.tudarmstadt.ukp.dkpro.core',
    module='de.tudarmstadt.ukp.dkpro.core.stanfordnlp-gpl',
    version='1.5.0')

import org.apache.uima.analysis_engine.AnalysisEngineProcessException;
import org.apache.uima.fit.component.JCasConsumer_ImplBase;
import org.apache.uima.fit.util.JCasUtil;
import org.apache.uima.jcas.JCas;
import de.tudarmstadt.ukp.dkpro.core.api.ner.type.NamedEntity;
import de.tudarmstadt.ukp.dkpro.core.api.segmentation.type.Sentence;
import de.tudarmstadt.ukp.dkpro.core.api.syntax.type.constituent.NP;    
import de.tudarmstadt.ukp.dkpro.core.stanfordnlp.*;

import static org.apache.uima.fit.pipeline.SimplePipeline.*;
import static org.apache.uima.fit.factory.JCasFactory.*;
import static org.apache.uima.fit.factory.AnalysisEngineFactory.*;
import static org.apache.uima.fit.util.JCasUtil.*;

import de.tudarmstadt.ukp.dkpro.core.api.segmentation.type.*;
import de.tudarmstadt.ukp.dkpro.core.api.ner.type.*;


def doc = createJCas();
doc.documentText = """It is unfortunate that many Nigerians, especially the younger ones, 
express surprise at the mention of elephants and lions being found within the borders of the country. 
Admittedly, the number of these animals has diminished greatly over the years due to the activities of poachers thus pushing 
some of these animals to the verge of extinction. For example, it was discovered last year 
that there are not more than 34 lions in the wild. However there should be cause for 
optimism as a rundown of just a few animals across these parks show. The Yankari 
Game Reserve in Bauchi is Nigeria's most famous and arguably the best park for observing 
wildlife. Buffaloes, waterbucks, bushbucks, hyenas, leopards, baboons, elephants and lions 
are some of the animals that can be found here. 
"The animals are best seen during the dry season, 
especially from January to April," a 
tour guide told this reporter during a safari at Yankari. """
doc.documentLanguage = "en";

runPipeline(doc,
  createEngineDescription(StanfordSegmenter),
  createEngineDescription(StanfordPosTagger),
  createEngineDescription(StanfordNamedEntityRecognizer));

// for (Token token : select(doc, Token)) {  
    // println token.coveredText + "\n\n\n"
    // }
// for (Sentence sentence : select(doc, Sentence)) {  
    // println sentence.coveredText + "\n\n\n"
    // }
for (Sentence sentence : JCasUtil.select(doc, Sentence.class)) {
println sentence.getCoveredText()+"\n\n"
for (NP nounphrase : JCasUtil.selectCovered(doc, NP.class, sentence)) { 
    println "||" + nounphrase.getCoveredText() + "||\n\n"
    }
}   
// for (Token token : select(doc, Token)) { 
    // def entity=selectCovering(NamedEntity,token).value
    // if(entity.toString().length()>2)
    // println token.coveredText +"\n\n" + entity.toString() + "\n\n\n"
    // }

在我的输出中，句子被正确识别，但没有为命名短语打印。

Answer 1

NP是选区结构的一部分。您的脚本不包含选区解析器。在您的管道中添加解析器后，例如在斯坦福解析器中，您还可以访问NP：

runPipeline(doc,
  createEngineDescription(StanfordSegmenter),
  createEngineDescription(StanfordPosTagger),
  createEngineDescription(StanfordParser),
  createEngineDescription(StanfordNamedEntityRecognizer));

披露：我是DKPro Core项目的开发人员。

DKPro Core Groovy，NP识别不起作用

1 个答案: