Results 21 to 30 of about 276,851 (299)
Who could be behind QAnon? Authorship attribution with supervised machine-learning [PDF]
Digital Scholarship in the Humanities, 2023 A series of social media posts on 4chan then 8chan, signed under the pseudonym ‘Q’, started a movement known as QAnon, which led some of its most radical supporters to violent and illegal actions.
F. Cafiero, Jean-Baptiste Camps
semanticscholar +1 more source
Whodunit? Learning to Contrast for Authorship Attribution [PDF]
AACL, 2022 Authorship attribution is the task of identifying the author of a given text. The key is finding representations that can differentiate between authors.
Bo Ai +3 more
semanticscholar +1 more source
Authorship Attribution of Late 19th Century Novels using GAN-BERT
Annual Meeting of the Association for Computational Linguistics, 2023 This paper is about performing authorship attribution of long 19th-century novels using the GAN-BERT model, comparing author counts, author combinations and sample text sizes.
Kanishka Silva +5 more
semanticscholar +1 more source
Foundations and Trends® in Information Retrieval, 2008 Authorship attribution, the science of inferring characteristics of the author from the characteristics of documents written by that author, is a problem with a long history and a wide range of application. Recent work in “non-traditional” authorship attribution demonstrates the practicality of automatically analyzing documents based on authorial style,
openaire +1 more source
Are You Robert or RoBERTa? Deceiving Online Authorship Attribution Models Using Neural Text Generators [PDF]
International Conference on Web and Social Media, 2022 Recently, there has been a rise in the development of powerful pre-trained natural language models, including GPT-2, Grover, and XLM. These models have shown state-of-the-art capabilities towards a variety of different NLP tasks, including question ...
Keenan Jones +2 more
semanticscholar +1 more source
An Effective and Scalable Framework for Authorship Attribution Query Processing
IEEE Access, 2018 Authorship attribution aims at identifying the original author of an anonymous text from a given set of candidate authors and has a wide range of applications.
Raheem Sarwar +8 more
doaj +1 more source
Authorship Attribution: Specifics for Slovene [PDF]
Slavia Centralis, 2012 The paper shows the importance of a quality analysis of linguistic features which enable the process of authorship attribution or author profiling in a forensic, literary or economic context (anonymous threat letters, plagiarism, literary works of unknown authorship, client profiling).
openaire +3 more sources
A Transformer-Based Approach to Authorship Attribution in Classical Arabic Texts
Applied Sciences, 2023 Authorship attribution (AA) is a field of natural language processing that aims to attribute text to its author. Although the literature includes several studies on Arabic AA in general, applying AA to classical Arabic texts has not gained similar ...
Fetoun Alzahrani, M. Al-Yahya
semanticscholar +1 more source
Leveraging Ensembles and Self-Supervised Learning for Fully-Unsupervised Person Re-Identification and Text Authorship Attribution [PDF]
IEEE Transactions on Information Forensics and Security, 2022 Learning from fully-unlabeled data is challenging in Multimedia Forensics problems, such as Person Re-Identification and Text Authorship Attribution. Recent self-supervised learning methods have shown to be effective when dealing with fully-unlabeled ...
Gabriel C. Bertocco +3 more
semanticscholar +1 more source
Unsupervised authorship attribution
CoRR, 2015 We describe a technique for attributing parts of a written text to a set of unknown authors. Nothing is assumed to be known a priori about the writing styles of potential authors. We use multiple independent clusterings of an input text to identify parts that are similar and dissimilar to one another.
David Fifield +2 more
openaire +2 more sources