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ixa pipes sequence labeler (ixa2.si.ehu.es/ixa-pipes).

There is a newer version: 1.6.1

/*
 * Copyright 2014 Rodrigo Agerri

   Licensed under the Apache License, Version 2.0 (the "License");
   you may not use this file except in compliance with the License.
   You may obtain a copy of the License at

       http://www.apache.org/licenses/LICENSE-2.0

   Unless required by applicable law or agreed to in writing, software
   distributed under the License is distributed on an "AS IS" BASIS,
   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
   See the License for the specific language governing permissions and
   limitations under the License.
 */
package eus.ixa.ixa.pipe.nerc.features;

import java.util.Collections;
import java.util.HashMap;
import java.util.List;
import java.util.Map;

import opennlp.tools.util.InvalidFormatException;
import opennlp.tools.util.featuregen.ArtifactToSerializerMapper;
import opennlp.tools.util.featuregen.CustomFeatureGenerator;
import opennlp.tools.util.featuregen.FeatureGeneratorResourceProvider;
import opennlp.tools.util.model.ArtifactSerializer;
import eus.ixa.ixa.pipe.nerc.dict.ClarkCluster;
import eus.ixa.ixa.pipe.nerc.train.Flags;

public class ClarkFeatureGenerator extends CustomFeatureGenerator implements ArtifactToSerializerMapper {

  private ClarkCluster clarkCluster;
  private Map attributes;
  public static String unknownClarkClass = "O";

  
  public ClarkFeatureGenerator() {
  }
  
  public void createFeatures(List features, String[] tokens, int index,
      String[] preds) {

    String wordClass = getWordClass(tokens[index].toLowerCase());
    features.add(attributes.get("dict") + "=" + wordClass);
    if (Flags.DEBUG) {
      System.err.println("-> " + tokens[index].toLowerCase() + ": " + attributes.get("dict") + "=" + wordClass);
    }
  }

  public String getWordClass(String token) {
    String clarkClass = clarkCluster.lookupToken(token);
    if (clarkClass == null) {
      clarkClass = unknownClarkClass;
    }
    return clarkClass;
  }
  
  @Override
  public void updateAdaptiveData(String[] tokens, String[] outcomes) {
    
  }

  @Override
  public void clearAdaptiveData() {
    
  }

  @Override
  public void init(Map properties,
      FeatureGeneratorResourceProvider resourceProvider)
      throws InvalidFormatException {
    Object dictResource = resourceProvider.getResource(properties.get("dict"));
    if (!(dictResource instanceof ClarkCluster)) {
      throw new InvalidFormatException("Not a ClarkCluster resource for key: " + properties.get("dict"));
    }
    this.clarkCluster = (ClarkCluster) dictResource;
    this.attributes = properties;
  }

  @Override
  public Map> getArtifactSerializerMapping() {
    Map> mapping = new HashMap<>();
    mapping.put("clarkserializer", new ClarkCluster.ClarkClusterSerializer());
    return Collections.unmodifiableMap(mapping);
  }
  
}