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Authorship Attribution

Authorship attribution, also known as authorship identification, aims to attribute a previously unseen text of unknown authorship to one of a set of known authors.

Papers

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Showing 21–30 of 212 papers

TitleStatusHype
An Investigation of Supervised Learning Methods for Authorship Attribution in Short Hinglish Texts using Char & Word N-grams—0
Approximating Style by N-gram-based Annotation—0
Are You Robert or RoBERTa? Deceiving Online Authorship Attribution Models Using Neural Text Generators—0
A Lexical, Syntactic, and Semantic Perspective for Understanding Style in Text—0
A Linear-complexity Multi-biometric Forensic Document Analysis System, by Fusing the Stylome and Signature Modalities—0
Assessing the Stylistic Properties of Neurally Generated Text in Authorship Attribution—0
An Image Analysis Approach to the Calligraphy of Books—0
A Supervised Authorship Attribution Framework for Bengali Language—0
Attribution and Obfuscation of Neural Text Authorship: A Data Mining Perspective—0
A Bayesian Approach to Harnessing the Power of LLMs in Authorship Attribution—0
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