Examples of opennlp.tools.coref.Linker

opennlp.tools.coref.Linker
A linker provides an interface for finding mentions, {@link #getMentionFinder getMentionFinder}, and creating entities out of those mentions, {@link #getEntities getEntities}. This interface also allows for the training of a resolver with the method {@link #setEntities setEntitites} which is used to give theresolver mentions whose entityId fields indicate which mentions refer to the same entity and the {@link #train train} method which compiles all the information provided via calls to{@link #setEntities setEntities} into a model.

      in = new BufferedReader(new InputStreamReader(System.in));
    }
    else {
      in = new BufferedReader(new FileReader(args[ai]));
    }
    Linker treebankLinker = new TreebankLinker(dataDir,LinkerMode.TEST);
    int sentenceNumber = 0;
    List<Mention> document = new ArrayList<Mention>();
    List<Parse> parses = new ArrayList<Parse>();
    for (String line=in.readLine();null != line;line = in.readLine()) {
      if (line.equals("")) {
        DiscourseEntity[] entities = treebankLinker.getEntities(document.toArray(new Mention[document.size()]));
        //showEntities(entities);
        new CorefParse(parses,entities).show();
        sentenceNumber=0;
        document.clear();
        parses.clear();
      }
      else {
        Parse p = Parse.parseParse(line);
        parses.add(p);
        Mention[] extents = treebankLinker.getMentionFinder().getMentions(new DefaultParse(p,sentenceNumber));
        //construct new parses for mentions which don't have constituents.
        for (int ei=0,en=extents.length;ei<en;ei++) {
          //System.err.println("PennTreebankLiner.main: "+ei+" "+extents[ei]);


          if (extents[ei].getParse() == null) {
            //not sure how to get head index, but its not used at this point.
            Parse snp = new Parse(p.getText(),extents[ei].getSpan(),"NML",1.0,0);
            p.insert(snp);
            extents[ei].setParse(new DefaultParse(snp,sentenceNumber));
          }


        }
        document.addAll(Arrays.asList(extents));
        sentenceNumber++;
      }
    }
    if (document.size() > 0) {
      DiscourseEntity[] entities = treebankLinker.getEntities(document.toArray(new Mention[document.size()]));
      //showEntities(entities);
      (new CorefParse(parses,entities)).show();
    }
  }

View Full Code Here

      in = new BufferedReader(new InputStreamReader(System.in));
    }
    else {
      in = new BufferedReader(new FileReader(args[ai]));
    }
    Linker treebankLinker = new TreebankLinker(dataDir,LinkerMode.TEST);
    int sentenceNumber = 0;
    List document = new ArrayList();
    List parses = new ArrayList();
    for (String line=in.readLine();null != line;line = in.readLine()) {
      if (line.equals("")) {
        DiscourseEntity[] entities = treebankLinker.getEntities((Mention[]) document.toArray(new Mention[document.size()]));
        //showEntities(entities);
        new CorefParse(parses,entities).show();
        sentenceNumber=0;
        document.clear();
        parses.clear();
      }
      else {
        Parse p = Parse.parseParse(line);
        parses.add(p);
        Mention[] extents = treebankLinker.getMentionFinder().getMentions(new DefaultParse(p,sentenceNumber));
        //construct new parses for mentions which don't have constituents.
        for (int ei=0,en=extents.length;ei<en;ei++) {
          //System.err.println("PennTreebankLiner.main: "+ei+" "+extents[ei]);
          
          if (extents[ei].getParse() == null) {
            Parse snp = new Parse(p.getText(),extents[ei].getSpan(),"NML",1.0);
            p.insert(snp);
            extents[ei].setParse(new DefaultParse(snp,sentenceNumber));
          }
          
        }
        document.addAll(Arrays.asList(extents));
        sentenceNumber++;
      }
    }
    if (document.size() > 0) {
      DiscourseEntity[] entities = treebankLinker.getEntities((Mention[]) document.toArray(new Mention[document.size()]));
      //showEntities(entities);
      (new CorefParse(parses,entities)).show();
    }
  }

View Full Code Here

      in = new BufferedReader(new InputStreamReader(System.in));
    }
    else {
      in = new BufferedReader(new FileReader(args[ai]));
    }
    Linker treebankLinker = new TreebankLinker(dataDir,LinkerMode.TEST);
    int sentenceNumber = 0;
    List<Mention> document = new ArrayList<Mention>();
    List<Parse> parses = new ArrayList<Parse>();
    for (String line=in.readLine();null != line;line = in.readLine()) {
      if (line.equals("")) {
        DiscourseEntity[] entities = treebankLinker.getEntities(document.toArray(new Mention[document.size()]));
        //showEntities(entities);
        new CorefParse(parses,entities).show();
        sentenceNumber=0;
        document.clear();
        parses.clear();
      }
      else {
        Parse p = Parse.parseParse(line);
        parses.add(p);
        Mention[] extents = treebankLinker.getMentionFinder().getMentions(new DefaultParse(p,sentenceNumber));
        //construct new parses for mentions which don't have constituents.
        for (int ei=0,en=extents.length;ei<en;ei++) {
          //System.err.println("PennTreebankLiner.main: "+ei+" "+extents[ei]);


          if (extents[ei].getParse() == null) {
            //not sure how to get head index, but its not used at this point.
            Parse snp = new Parse(p.getText(),extents[ei].getSpan(),"NML",1.0,0);
            p.insert(snp);
            extents[ei].setParse(new DefaultParse(snp,sentenceNumber));
          }


        }
        document.addAll(Arrays.asList(extents));
        sentenceNumber++;
      }
    }
    if (document.size() > 0) {
      DiscourseEntity[] entities = treebankLinker.getEntities(document.toArray(new Mention[document.size()]));
      //showEntities(entities);
      (new CorefParse(parses,entities)).show();
    }
  }

View Full Code Here

      in = new BufferedReader(new InputStreamReader(System.in));
    }
    else {
      in = new BufferedReader(new FileReader(args[ai]));
    }
    Linker treebankLinker = new TreebankLinker(dataDir,LinkerMode.TEST);
    int sentenceNumber = 0;
    List<Mention> document = new ArrayList<Mention>();
    List<Parse> parses = new ArrayList<Parse>();
    for (String line=in.readLine();null != line;line = in.readLine()) {
      if (line.equals("")) {
        DiscourseEntity[] entities = treebankLinker.getEntities((Mention[]) document.toArray(new Mention[document.size()]));
        //showEntities(entities);
        new CorefParse(parses,entities).show();
        sentenceNumber=0;
        document.clear();
        parses.clear();
      }
      else {
        Parse p = Parse.parseParse(line);
        parses.add(p);
        Mention[] extents = treebankLinker.getMentionFinder().getMentions(new DefaultParse(p,sentenceNumber));
        //construct new parses for mentions which don't have constituents.
        for (int ei=0,en=extents.length;ei<en;ei++) {
          //System.err.println("PennTreebankLiner.main: "+ei+" "+extents[ei]);


          if (extents[ei].getParse() == null) {
            //not sure how to get head index, but its not used at this point.
            Parse snp = new Parse(p.getText(),extents[ei].getSpan(),"NML",1.0,0);
            p.insert(snp);
            extents[ei].setParse(new DefaultParse(snp,sentenceNumber));
          }


        }
        document.addAll(Arrays.asList(extents));
        sentenceNumber++;
      }
    }
    if (document.size() > 0) {
      DiscourseEntity[] entities = treebankLinker.getEntities((Mention[]) document.toArray(new Mention[document.size()]));
      //showEntities(entities);
      (new CorefParse(parses,entities)).show();
    }
  }

View Full Code Here


    List<Mention> document = new ArrayList<Mention>(1);
    ArrayList<opennlp.tools.parser.Parse> parsedSentences = new ArrayList<opennlp.tools.parser.Parse>(
        1);
    parsedSentences.add(chosen_parse);
    Linker treebankLinker = new DefaultLinker(
             // LinkerMode should be TEST
             //Note: I tried LinkerMode.EVAL for a long time
             // before realizing that this was the problem
             "models/coref", LinkerMode.TEST);
    int sentenceNumber = 0;
    Mention[] extents = treebankLinker.getMentionFinder().getMentions(
        new DefaultParse(chosen_parse, sentenceNumber));


    // construct new parses for mentions which don't have constituents.
    // for (int ei = 0, en = extents.length; ei < en; ei++) {
    for (final Mention mention : extents) {
      // System.err.println("PennTreebankLiner.main: "+ei+" "+extents[ei]);


      // if (extents[ei].getParse() == null) {
      if (mention.getParse() == null) {
        Parse snp = new Parse(p.getText(), mention.getSpan(), "NML",
            1.0, null);
        p.insert(snp);
        mention.setParse(new DefaultParse(snp, sentenceNumber));
      }


    }


    document.addAll(Arrays.asList(extents));


    if (document.size() > 0) {
      DiscourseEntity[] entities = treebankLinker.getEntities(document
          .toArray(new Mention[0]));
      // showEntities(entities);
      (new CorefParse(Arrays.asList(parses), entities)).show();
    }

View Full Code Here

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Related Classes of opennlp.tools.coref.Linker

net.sf.nlpshell.Main

opennlp.tools.lang.english.TreebankLinker

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