public static void prepareWord2VecCorpus(
Properties properties, Parameters parameters, String output) throws Exception {
File fAbstractDir = new File(PropertiesUtils.getString(properties, "corpusDir", ""));
File fOutputFile = new File(output);
Tokenizer tokenizer = new Tokenizer(true, ' ');
MaxentTagger tagger = new MaxentTagger(PropertiesUtils.getString(properties, "pos_tagger", ""));
Morphology morphology = new Morphology();
OutputStreamWriter osw = new OutputStreamWriter(new FileOutputStream(fOutputFile), "utf-8");
for (File abstractFile : fAbstractDir.listFiles()) {
Abstract ab = (Abstract) ObjectSerializer.readObjectFromFile(abstractFile.getAbsolutePath());
for (ADESentence sentence : ab.sentences) {
List<CoreLabel> tokens = tokenizer.tokenize(sentence.offset, sentence.text);
tagger.tagCoreLabels(tokens);
for (int i = 0; i < tokens.size(); i++) morphology.stem(tokens.get(i));
for (CoreLabel token : tokens) {
String temp = NNADE.wordPreprocess(token, parameters);
osw.write(temp + " ");
}
osw.write("\n");
}
}
osw.close();
System.out.println("Generate a word2vec corpus.");
System.out.printf("wordPreprocess = %d%n", parameters.wordPreprocess);
System.out.printf("embeddingSize = %d%n", parameters.embeddingSize);
}
public static TaggedWord verbToGerund(TaggedWord verb) {
Morphology wordMorpher = new Morphology();
String stem = wordMorpher.stem(verb.word());
if (!stem.equals("do")) {
stem = stem.replaceAll("[aeiou]?$", "");
}
return new TaggedWord(stem + "ing", "VBG");
}
private static float lexSimilarity(String s1, String s2) {
String[] split1 = s1.split("[.?!]");
String[] split2 = s2.split("[.?!]");
Set<String> stemsInFirst = new HashSet<String>();
Set<String> stemsInSecond = new HashSet<String>();
for (int i = 0; i < split1.length; i++) {
PTBTokenizer<Word> tokenizer1 = PTBTokenizer.newPTBTokenizer(new StringReader(split1[i]));
while (tokenizer1.hasNext()) {
Word w = tokenizer1.next();
String stem = m.stem(w).word();
stemsInFirst.add(stem);
}
}
for (int j = 0; j < split2.length; j++) {
PTBTokenizer<Word> tokenizer2 = PTBTokenizer.newPTBTokenizer(new StringReader(split2[j]));
while (tokenizer2.hasNext()) {
Word w = tokenizer2.next();
String stem = m.stem(w).word();
stemsInSecond.add(stem);
}
}
Iterator<String> i = stemsInSecond.iterator();
float commonStems = 0;
while (i.hasNext()) {
String curStem = i.next();
// System.out.println(curStem);
if (stemsInFirst.contains(curStem)) commonStems++;
}
int secondSize = stemsInSecond.size();
if (secondSize > 0) return commonStems / (float) (secondSize);
else return 0;
}
private static void addLemma(
Morphology morpha,
Class<? extends CoreAnnotation<String>> ann,
CoreMap map,
String word,
String tag) {
if (tag.length() > 0) {
String phrasalVerb = phrasalVerb(morpha, word, tag);
if (phrasalVerb == null) {
map.set(ann, morpha.lemma(word, tag));
} else {
map.set(ann, phrasalVerb);
}
} else {
map.set(ann, morpha.stem(word));
}
}
public static TaggedWord verbToBaseTense(TaggedWord verb) {
Morphology wordMorpher = new Morphology();
return new TaggedWord(wordMorpher.stem(verb.word()), "VB");
}
