In addition, to overcome the data dependency of the keyword feature, we proposed new features using the distribution of terms over dialogue acts.
we computed the term frequency (TF) of each term over the 14 dialogue acts in the training data, and accumulated TF from all terms in the target utterance into a 14 × 1 vector to represent the feature for the target utterance.