Paper: Automatic Detection Of Text Genre

ACL ID P97-1005
Title Automatic Detection Of Text Genre
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 1997
Authors

As the text databases available to users be- come larger and more heterogeneous, genre becomes increasingly important for com- putational linguistics as a complement to topical and structural principles of classifi- cation. We propose a theory of genres as bundles of facets, which correlate with var- ious surface cues, and argue that genre de- tection based on surface cues is as success- ful as detection based on deeper structural properties.