LambdaG, a cognitively motivated grammar likelihood ratio, outperforms seven baseline methods on twelve authorship verification datasets while providing interpretability and robustness.
Likelihood Ratio Estimation for Authorship Text Evidence: An Empirical Comparison of Score- and Feature-Based Methods.Forensic Science International, 334:111268, May 2022
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Grammar as a Behavioral Biometric: Using Cognitively Motivated Grammar Models for Authorship Verification
LambdaG, a cognitively motivated grammar likelihood ratio, outperforms seven baseline methods on twelve authorship verification datasets while providing interpretability and robustness.