Furthermore, in order to help detecting off-topic and non-argument sentences, we employ topic model features.
we use features taken from a vector representation of the sentence obtained by using Gibbs sampling on LDA model (Blei et al., 2003;McCallum, 2002) with topics trained on unlabeled data provided as a part of the corpus.