The first experiment evaluates the individual contribution of different feature types to question classification accuracy.
the SVM and ME are trained from the UIUC 5500 training data using the following feature sets: 1) whword + head word, 2) wh-word + head word + direct hypernym, 3) wh-wod + head word + indirect hypernym, 4) unigram, 5) bigram, 6) trigram, and 7) word shape.