As it serves as a basis for POS tagging, category induction, and human category acquisition, we investigate the information needed to disambiguate a word in a local context, when using corpus categories.
we increase the recall of an error detection method by abstracting the word to be disambiguated to a representation containing information about some of its inherent properties, namely the set of categories it can potentially have.