Calculating Semantic Distance between Word Sense Probability Distributions.

Abstract

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.