BertAA: BERT fine-tuning for Authorship Attribution
M Fabien, E Villatoro-Tello, P Motlicek… - Proceedings of the 17th …, 2020 - aclanthology.org
Identifying the author of a given text can be useful in historical literature, plagiarism
detection, or police investigations. Authorship Attribution (AA) has been well studied and …
detection, or police investigations. Authorship Attribution (AA) has been well studied and …
Overview of the cross-domain authorship attribution task at {PAN} 2019
M Kestemont, E Stamatatos… - Working Notes of …, 2019 - repository.uantwerpen.be
Authorship identification remains a highly topical research problem in computational text
analysis, with many relevant applications in contemporary society and industry. In this …
analysis, with many relevant applications in contemporary society and industry. In this …
$ CAG $: Stylometric authorship attribution of multi-author documents using a co-authorship graph
Stylometry has been successfully applied to perform authorship identification of single-
author documents (AISD). The AISD task is concerned with identifying the original author of …
author documents (AISD). The AISD task is concerned with identifying the original author of …
A light in the dark web: Linking dark web aliases to real internet identities
E Arabnezhad, M La Morgia, A Mei… - 2020 ieee 40th …, 2020 - ieeexplore.ieee.org
Most users have several Internet names. On Face-book or LinkedIn, for example, people
usually appear with the real one. On other standard websites, like forums, people often use …
usually appear with the real one. On other standard websites, like forums, people often use …
Syllabic quantity patterns as rhythmic features for Latin authorship attribution
It is well known that, within the Latin production of written text, peculiar metric schemes were
followed not only in poetic compositions, but also in many prose works. Such metric patterns …
followed not only in poetic compositions, but also in many prose works. Such metric patterns …
Post-authorship attribution using regularized deep neural network
Post-authorship attribution is a scientific process of using stylometric features to identify the
genuine writer of an online text snippet such as an email, blog, forum post, or chat log. It has …
genuine writer of an online text snippet such as an email, blog, forum post, or chat log. It has …
Linguistic Modeling as a Basis for Creating Authorship Attribution Software
A Khomenko, Y Baranova, A Romanov, K Zadvornov - 2021 - elibrary.ru
This paper discusses approbation of an integrative attribution method for texts in the
Russian language. The methodology goes after (Koppel, Schler 2003): computer program …
Russian language. The methodology goes after (Koppel, Schler 2003): computer program …
Isolating authorship from content with semantic embeddings and contrastive learning
J Huertas-Tato, A Girón-Jiménez, A Martín… - arXiv preprint arXiv …, 2024 - arxiv.org
Authorship has entangled style and content inside. Authors frequently write about the same
topics in the same style, so when different authors write about the exact same topic the …
topics in the same style, so when different authors write about the exact same topic the …
SQSE: a measure to assess sample quality of authorial style as a cognitive biometric trait
R Wilson, A Bhandarkar, P Lyons… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Stylistic analysis of text is a widely researched topic in both cognitive biometrics and
linguistics. Often referred to as Authorship Attribution (AA), the scope of this problem has …
linguistics. Often referred to as Authorship Attribution (AA), the scope of this problem has …
Towards improved model design for authorship identification: A survey on writing style understanding
Authorship identification tasks, which rely heavily on linguistic styles, have always been an
important part of Natural Language Understanding (NLU) research. While other tasks based …
important part of Natural Language Understanding (NLU) research. While other tasks based …