The extraction is straightforward: When a word sense w i has an associated directory d, we scan the site descriptions on the ODP page that corresponds to the directory d and extract all contexts in which w occurs, assuming that in all of them w is used in the sense i.
the goal is to compare the performance of a supervised word sense disambiguation system using Senseval 2 training data (hand made for the competition) to that using the sense-tagged corpus from ODP (automatically extracted).