To supply a sequence-labeling algorithm with information from these distributional representations, we compute real-valued features of the context distributions.
for every word x i in a sequence, we provide the sequence labeler with a set of features of the left and right contexts indexed by v ∈ V: For example, the left context for "reformulated" in our example above would contain a nonzero probability for the word "of."