Therefore the Sum Product internode messages are computed as: and the probability of each WordNet node can be computed by a normalized interpolation of all of the incoming messages from the children nodes: Relevance of a WordNet Nodes Throughout our experiments with the training data, we discovered that some infrequent tail terms in the frame element lexicon that might not be filtered out by the statistical inference algorithm but still are frequently used in relevant text.
we defined the relevance metric for the WordNet nodes to achieve a larger coverage.