public static synchronized Dictionary initializeWordNet() { if (wordnet != null) return wordnet; try { String propsFileText = FileUtils.readFile(Utils.class.getResourceAsStream(propsFile)); Map<String, String> map = Maps.newTreeMap(); map.put("WordNet_dictionary_path", Utils.getConfig().getString("WordNet_dictionary_path")); propsFileText = StringUtil.macroReplace(propsFileText, map); JWNL.initialize(new StringInputStream(propsFileText)); // JWNL.initialize(new FileInputStream(propsFile)); wordnet = Dictionary.getInstance(); } catch (Exception ex) { throw new RuntimeException(ex); } SUPERTYPE_SYNSETS = new Synset[SUPERTYPES.length]; Synset[] classSynset; IndexWord iw; int count = 0; for (String type : SUPERTYPES) { try { iw = wordnet.getIndexWord(POS.NOUN, type); } catch (JWNLException e) { throw new RuntimeException(e); } if (iw == null) { System.err.println(type); continue; } try { classSynset = iw.getSenses(); } catch (JWNLException e) { throw new RuntimeException(e); } // System.err.println("**********************"); if (classSynset.length > 1) { // for(Synset cs:classSynset) // System.err.println(cs); if (type.equals("abstraction")) { SUPERTYPE_SYNSETS[count] = classSynset[5]; } else if (type.equals("measure")) { SUPERTYPE_SYNSETS[count] = classSynset[2]; } else if (type.equals("state")) { SUPERTYPE_SYNSETS[count] = classSynset[3]; } else if (type.equals("act")) { SUPERTYPE_SYNSETS[count] = classSynset[1]; } else { SUPERTYPE_SYNSETS[count] = classSynset[0]; } } count++; } if (wordnet == null) throw new RuntimeException("WordNet not intialized"); else { System.out.println("Wordnet initialized " + wordnet); } return wordnet; }
public NamedEntityTagChunk() { /* defaults */ currentConfig = Utils.getConfig(); modelDir = Utils.getDataDirectory(); models = currentConfig.getNERModels("tagchunkmodels"); }
/** * Trains a classifier using the feature files housed in the training directories in the Config. * * @param options - a string array of various options used in training (e.g. - where to save the * model file, training parameters, etc.) */ public void train(File trainFile, File outputModelFile) { if (mOptions == null) { mOptions = Utils.getConfig().getStringArray("ClOptions." + getName()); } train(trainFile, outputModelFile, mOptions); }
/** * Classifies the instances located in the test directories in the Config. * * @param options - a string array of various options used in testing (e.g. - where to load the * model file, testing parameters, etc.) * @return the minimum and maximum numerical values of the classified instances */ public double[] test(Reader testFile, Writer outputFile) { if (mOptions == null) { mOptions = Utils.getConfig().getStringArray("ClOptions." + getName()); } return test(testFile, outputFile, mOptions); }