Our main claim is that devising a strategy to informatively include this type of distributional information in classification tasks can allow us to take advantage of a bigger portion of the data available in corpora and improve the accuracy of classifiers in this way.
with mainstream approaches to cue-based lexical-semantic classification, we argue for the inclusion of a type of distributional information typically not considered to be indicatory of class membership, and thus not informative to automatic classification systems.