Authorship attribution using probabilistic context-free grammars

  • Authors:
  • Sindhu Raghavan;Adriana Kovashka;Raymond Mooney

  • Affiliations:
  • The University of Texas at Austin, Austin, TX;The University of Texas at Austin, Austin, TX;The University of Texas at Austin, Austin, TX

  • Venue:
  • ACLShort '10 Proceedings of the ACL 2010 Conference Short Papers
  • Year:
  • 2010

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Abstract

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.