Calculating Semantic Distance between Word Sense Probability Distributions.
Vivian Tsang, Suzanne Stevenson · 2004
Semantic similarity measures have focused on individual word senses. However, in many applications, it may be informative to compare the overall sense distributions for two different contexts. We propose a new method for comparing two probability distributions over WordNet, which captures in a single measure the aggregate semantic distance of the component nodes, weighted by their probability.