I want to do a very simple job: given a string containing pronouns, I want to resolve them.
for example, I want to turn the sentence "Mary has a little lamb. She is cute." in "Mary has a little lamb. Mary is cute.".
I have tried to use Stanford CoreNLP. However, I seem unable to get the parser to start. I have imported all the included jars in my project using Eclipse, and I have allocated 3GB to the JVM (-Xmx3g).
The error is very awkward:
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;
I don't understand where that L comes from, I think it is the root of my problem... This is rather weird. I have tried to get inside the source files, but there is no wrong reference there.
Code:
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);
}
}
Full stack trace:
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)
