Risolvi la coreografia usando Stanford CoreNLP - impossibile caricare il parser model

Question

Voglio fare un lavoro molto semplice: dato una stringa contenente pronomi, voglio risolverli.

per esempio, voglio girare la frase "Maria ha un agnellino, è carina". in "Maria ha un piccolo agnellino, Mary è carina".

Ho provato a utilizzare Stanford CoreNLP. Tuttavia, non riesco a far avviare il parser. Ho importato tutti i jar inclusi nel mio progetto usando Eclipse e ho assegnato 3 GB alla JVM (-Xmx3g).

l'errore è molto imbarazzante:

Exception in thread "main" java.lang.NoSuchMethodError: edu.stanford.nlp.parser.lexparser.LexicalizedParser.loadModel(Ljava/lang/String;[Ljava/lang/String;)Ledu/stanford/nlp/parser/lexparser/LexicalizedParser;

non capisco dove che viene da L, penso che è la radice del mio problema ... Questo è piuttosto strano. Ho cercato di entrare nei file sorgente, ma non vi è alcun riferimento sbagliato lì.

Codice:

import edu.stanford.nlp.semgraph.SemanticGraphCoreAnnotations.CollapsedCCProcessedDependenciesAnnotation; 
import edu.stanford.nlp.dcoref.CorefCoreAnnotations.CorefChainAnnotation; 
import edu.stanford.nlp.dcoref.CorefCoreAnnotations.CorefGraphAnnotation; 
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.trees.TreeCoreAnnotations.TreeAnnotation; 
import edu.stanford.nlp.ling.CoreLabel; 
import edu.stanford.nlp.dcoref.CorefChain; 
import edu.stanford.nlp.pipeline.*; 
import edu.stanford.nlp.trees.Tree; 
import edu.stanford.nlp.semgraph.SemanticGraph; 
import edu.stanford.nlp.util.CoreMap; 
import edu.stanford.nlp.util.IntTuple; 
import edu.stanford.nlp.util.Pair; 
import edu.stanford.nlp.util.Timing; 
import java.io.File; 
import java.io.FileInputStream; 
import java.io.IOException; 
import java.util.ArrayList; 
import java.util.List; 
import java.util.Map; 

import java.util.Properties; 

public class Coref { 

/** 
* @param args the command line arguments 
*/ 
public static void main(String[] args) throws IOException, ClassNotFoundException { 
    // 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); 

    // read some text in the text variable 
    String text = "Mary has a little lamb. She is very cute."; // 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); 
     System.out.println(tree); 

     // this is the Stanford dependency graph of the current sentence 
     SemanticGraph dependencies = sentence.get(CollapsedCCProcessedDependenciesAnnotation.class); 
    } 

    // This is the coreference link graph 
    // Each chain stores a set of mentions that link to each other, 
    // along with a method for getting the most representative mention 
    // Both sentence and token offsets start at 1! 
    Map<Integer, CorefChain> graph = 
     document.get(CorefChainAnnotation.class); 
    System.out.println(graph); 
    } 
} 

completa analisi dello stack:

Adding annotator tokenize Adding annotator ssplit Adding annotator pos Loading POS Model [edu/stanford/nlp/models/pos-tagger/english-left3words/english-left3words-distsim.tagger] ... Loading default properties from trained tagger edu/stanford/nlp/models/pos-tagger/english-left3words/english-left3words-distsim.tagger Reading POS tagger model from edu/stanford/nlp/models/pos-tagger/english-left3words/english-left3words-distsim.tagger ... done [2.1 sec]. done [2.2 sec]. Adding annotator lemma Adding annotator ner Loading classifier from edu/stanford/nlp/models/ner/english.all.3class.distsim.crf.ser.gz ... done [4.0 sec]. Loading classifier from edu/stanford/nlp/models/ner/english.muc.distsim.crf.ser.gz ... done [3.0 sec]. Loading classifier from edu/stanford/nlp/models/ner/english.conll.distsim.crf.ser.gz ... done [3.3 sec]. Adding annotator parse Exception in thread "main" java.lang.NoSuchMethodError: edu.stanford.nlp.parser.lexparser.LexicalizedParser.loadModel(Ljava/lang/String;[Ljava/lang/String;)Ledu/stanford/nlp/parser/lexparser/LexicalizedParser; at edu.stanford.nlp.pipeline.ParserAnnotator.loadModel(ParserAnnotator.java:115) at edu.stanford.nlp.pipeline.ParserAnnotator.(ParserAnnotator.java:64) at edu.stanford.nlp.pipeline.StanfordCoreNLP$12.create(StanfordCoreNLP.java:603) at edu.stanford.nlp.pipeline.StanfordCoreNLP$12.create(StanfordCoreNLP.java:585) at edu.stanford.nlp.pipeline.AnnotatorPool.get(AnnotatorPool.java:62) at edu.stanford.nlp.pipeline.StanfordCoreNLP.construct(StanfordCoreNLP.java:329) at edu.stanford.nlp.pipeline.StanfordCoreNLP.(StanfordCoreNLP.java:196) at edu.stanford.nlp.pipeline.StanfordCoreNLP.(StanfordCoreNLP.java:186) at edu.stanford.nlp.pipeline.StanfordCoreNLP.(StanfordCoreNLP.java:178) at Coref.main(Coref.java:41)

Answer 1

Sì, la L è solo una cosa bizzarra Sun da sin da Java 1.0.

LexicalizedParser.loadModel(String, String ...) è un nuovo metodo aggiunto al parser, che non è stato trovato. Sospetto che ciò significhi avere un'altra versione del parser nel classpath che viene invece utilizzata.

Prova questo: al guscio esterno di qualsiasi IDE, dare a questi comandi (dando il percorso di Stanford-corenlp modo appropriato, e cambiando: a, se su Windows:

javac -cp ".:stanford-corenlp-2012-04-09/*" Coref.java 
java -mx3g -cp ".:stanford-corenlp-2012-04-09/*" Coref 

I carichi parser e il codice funziona correttamente per me - ho solo bisogno di aggiungere alcune dichiarazioni di stampa in modo da poter vedere cosa ha fatto :-).