Paper: Authorship Attribution Using Probabilistic Context-Free Grammars

ACL ID P10-2008
Title Authorship Attribution Using Probabilistic Context-Free Grammars
Venue Annual Meeting of the Association of Computational Linguistics
Session Short Paper
Year 2010
Authors

In this paper, we present a novel approach for authorship attribution, the task of iden- tifying 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 perfor- mance of our method on a wide range of datasets to demonstrate its efficacy.