A great advantage of this methodology is that it is totally corpus based, as it does not require neither the availability of lexical databases, nor the use of complex preprocessing steps such as parsing or anaphora resolution, allowing us to apply it on different languages and domains once large corpora are available for training.
we exploited exactly the same strategy to implement the IBLE classifier required for our purposes, defining a kernel composed by n simple kernels, each representing a different aspect to be considered when estimating contextual similarity among word occurrences.