Paper: Implementing A Characterization Of Genre For Automatic Genre Identification Of Web Pages

ACL ID P06-2090
Title Implementing A Characterization Of Genre For Automatic Genre Identification Of Web Pages
Venue Annual Meeting of the Association of Computational Linguistics
Session Poster Session
Year 2006
Authors

In this paper, we propose an implementable characterization of genre suitable for automatic genre identification of web pages. This characterization is implemented as an inferential model based on a modified version of Bayes’ theorem. Such a model can deal with genre hybridism and individualization, two important forces behind genre evolution. Results show that this approach is effective and is worth further research.