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Found 3 papers, 1 papers with code
Assessing the Applicability of Authorship Verification Methods
Our results indicate that part of the methods are able to cope with very challenging verification cases such as 250 characters long informal chat conversations (72. 7% accuracy) or cases in which two scientific documents were written at different times with an average difference of 15. 6 years (> 75% accuracy).
Unary and Binary Classification Approaches and their Implications for Authorship Verification
Even though AV represents a unary classification problem, a number of existing approaches consider it as a binary classification task.
Authorship Verification based on Compression-Models
Instead, the only three key components of our method are a compressing algorithm, a dissimilarity measure and a threshold, needed to accept or reject the authorship of the questioned document.
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