However, when considering large joint-contexts for c, this approach becomes similar to the composite-feature approach since it is based on co-occurrence counts of target words with large joint-contexts.
we expect in this case to encounter the data sparseness problems mentioned in Section 1, where semantically similar word type pairs that share only few or no identical joint-contexts yield very low p sim (b|a) estimates.