We examined the problem of automatically determining the information status of discourse entities in spoken dialogues.
we augmented Nissim's feature set with two types of features: lexical features, which capture in a shallow manner world knowledge implicitly encoded in the annotated data; and syntactic parse trees, which provide a richer representation of the syntactic context in which a discourse entity appears than grammatical roles.