• The first experiment evaluates the individual contribution of different feature types to question classification precision.
we use Weka (Hall et al., 2009) to run machine learning algorithms namely Decision Tree (DT) (Quinlan, 1986), Naive Bayes (NB) (Bayes, 1763), SVM and Voting (Parhami, 1994), which are trained from our data we built using the following feature set: bag-of-words.