  Most natural language processing tasks require lexical semantic information.
Automated acquisition of this information would thus increase the robustness
and portability of NLP systems. This paper describes an acquisition method
which makes use of fixed correspondences between derivational affixes and
lexical semantic information. One advantage of this method, and of other
methods that rely only on surface characteristics of language, is that the
necessary input is currently available.
