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.

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In Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics (ACL-2010), pp. 38--42 2010.

@inproceedings{raghavan:acl2010, title={Authorship Attribution Using Probabilistic Context-Free Grammars}, author={Sindhu Raghavan and Adriana Kovashka and Raymond Mooney}, booktitle={Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics (ACL-2010)}, pages={38--42}, url="http://www.cs.utexas.edu/users/ai-lab?raghavan:acl2010", year={2010} }

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