/**
* Assign scores for similarity in n-gram frequency to the given question to every sentence in the
* possible answer.
*/
public void annotate(PossibleAnswer possibleAnswer) {
// count n-gram frequencies of question text
Question question = possibleAnswer.getQuestion();
Text text = possibleAnswer.getAnnotatedText();
NGramFrequencyMap questionFreq;
for (NGramFreqCounter freqCounter : freqCounters) {
questionFreq = freqCounter.extractFreqs(question.getAnnotatedText());
NGramFrequencyMap answerFreq;
Double distance;
for (Sentence sentence : text.getSentences()) {
// count n-gram frequencies for every sentence in the answer-text
answerFreq = freqCounter.extractFreqs(sentence);
// compare to question frequencies
distance = distEval.evaluateDistance(questionFreq, answerFreq);
// store distance in sentence
sentence.addNgramDistance(extractDescription(freqCounter), distance);
}
}
}
public String extractDescription(NGramFreqCounter freqCounter) {
return freqCounter.getDescription() + "_" + distEval.getDescription();
}