  As the text databases available to users become larger and more
heterogeneous, genre becomes increasingly important for computational
linguistics as a complement to topical and structural principles of
classification. We propose a theory of genres as bundles of facets, which
correlate with various surface cues, and argue that genre detection based on
surface cues is as successful as detection based on deeper structural
properties.
