LambdaG, a cognitively motivated grammar likelihood ratio, outperforms seven baseline methods on twelve authorship verification datasets while providing interpretability and robustness.
Different Likelihood Ratio Approaches To Evaluate the Strength of Evidence of MDMA Tablet Comparisons
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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.