Implementing a Characterization of Genre for Automatic Genre Identification of Web Pages

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.

• Type: Conference
• Year: 2006
• Where: ACL
• Authors: Marina Santini, Richard Power, Roger Evans
• Keywords: ACL 2006, ACL 2007, Automatic Genre Identification, Genre Evolution, Implementable Characterization