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The Importance of Suppressing Domain Style in Authorship Analysis

The Importance of Suppressing Domain Style in Authorship Analysis

29 May 2020
Sebastian Bischoff
Niklas Deckers
Marcel Schliebs
Ben Thies
Matthias Hagen
E. Stamatatos
Benno Stein
Martin Potthast
ArXivPDFHTML

Papers citing "The Importance of Suppressing Domain Style in Authorship Analysis"

7 / 7 papers shown
Title
Learning Interpretable Style Embeddings via Prompting LLMs
Learning Interpretable Style Embeddings via Prompting LLMs
Ajay Patel
D. Rao
Ansh Kothary
Kathleen McKeown
Chris Callison-Burch
37
23
0
22 May 2023
A comparison of several AI techniques for authorship attribution on
  Romanian texts
A comparison of several AI techniques for authorship attribution on Romanian texts
S. Avram
Mihai Oltean
13
4
0
09 Nov 2022
SMAuC -- The Scientific Multi-Authorship Corpus
SMAuC -- The Scientific Multi-Authorship Corpus
Janek Bevendorff
Philipp Sauer
Lukas Gienapp
Wolfgang Kircheis
Erik Korner
Benno Stein
Martin Potthast
19
0
0
04 Nov 2022
On the State of the Art in Authorship Attribution and Authorship
  Verification
On the State of the Art in Authorship Attribution and Authorship Verification
Jacob Tyo
Bhuwan Dhingra
Zachary Chase Lipton
37
22
0
14 Sep 2022
TraSE: Towards Tackling Authorial Style from a Cognitive Science Perspective
Ronald Wilson
AV Bhandarkar
D. Woodard
10
1
0
21 Jun 2022
Syllabic Quantity Patterns as Rhythmic Features for Latin Authorship
  Attribution
Syllabic Quantity Patterns as Rhythmic Features for Latin Authorship Attribution
Silvia Corbara
Alejandro Moreo
Fabrizio Sebastiani
29
8
0
27 Oct 2021
O2D2: Out-Of-Distribution Detector to Capture Undecidable Trials in
  Authorship Verification
O2D2: Out-Of-Distribution Detector to Capture Undecidable Trials in Authorship Verification
Benedikt T. Boenninghoff
R. M. Nickel
D. Kolossa
OODD
45
12
0
30 Jun 2021
1