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Being around for decades, the problem of Authorship Attribution is still verymuch in focus currently. Some of the more recent instruments used are thepre-trained language models, the most prevalent being BERT. Here we used such amodel to detect the authorship of texts written in the Romanian language. Thedataset used is highly unbalanced, i.e., significant differences in the numberof texts per author, the sources from which the texts were collected, the timeperiod in which the authors lived and wrote these texts, the medium intended tobe read (i.e., paper or online), and the type of writing (i.e., stories, shortstories, fairy tales, novels, literary articles, and sketches). The results arebetter than expected, sometimes exceeding 87\% macro-accuracy.

BERT-based Authorship Attribution on the Romanian Dataset called ROST