Authorship Attribution Using Probabilistic Context-Free Grammars

In this paper, we present a novel approach for authorship attribution, the task of identifying the author of a document, using probabilistic context-free grammars. Our approach involves building a probabilistic context-free grammar for each author and using this grammar as a language model for classification. We evaluate the performance of our method on a wide range of datasets to demonstrate its efficacy.

• Type: Journal
• Year: 2010
• Where: ACL
• Authors: Sindhu Raghavan, Adriana Kovashka, Raymond J. Mooney
• Keywords: ACL 2010, Authorship Attribution, Computational Linguistics, Language Model, Probabilistic Context-free Grammar