arXiv:2011.07975
공식 코드 · Papers with Code
Datasets and Models for Authorship Attribution on Italian Personal Writings
원문 초록
Existing research on Authorship Attribution (AA) focuses on texts for which a lot of data is available (e.g novels), mainly in English. We approach AA via Authorship Verification on short Italian texts in two novel datasets, and analyze the interaction between genre, topic, gender and length. Results show that AV is feasible even with little data, but more evidence helps. Gender and topic can be indicative clues, and if not controlled for, they might overtake more specific aspects of personal style.
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Explainable Authorship Identification in Cultural Heritage Applications: Analysis of a New Perspective
ICLEF: In-Context Learning with Expert Feedback for Explainable Style Transfer
Same or Different? Diff-Vectors for Authorship Analysis
On the State of the Art in Authorship Attribution and Authorship Verification
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