LambdaG, a cognitively motivated grammar likelihood ratio, outperforms seven baseline methods on twelve authorship verification datasets while providing interpretability and robustness.
Overview of PAN 2024: Multi-Author Writing Style Analy- sis, Multilingual Text Detoxification, Oppositional Thinking Analysis, and Generative AI Author- ship Verification
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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.