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On the Usefulness of Compression Models for Authorship Verification
TLDR
We propose an intrinsic AV method, which yields competitive results compared to a number of current state-of-the-art approaches, based on support vector machines or neural networks. Expand
  • 31
  • 2
Authorship Verification in the Absence of Explicit Features and Thresholds
TLDR
We propose a novel parameter-free AV approach, which derives its thresholds for each verification case individually and enables AV in the absence of explicit features and training corpora. Expand
  • 22
  • 1
Rethinking the Evaluation Methodology of Authorship Verification Methods
TLDR
We propose an alternative evaluation methodology based on the construction of reliable corpora in combination with a more suitable performance measure. Expand
  • 9
  • 1
Authorship Verification based on Compression-Models
TLDR
We propose an intrinsic AV method, which yields competitive results compared to state-of-the-art approaches, based on support vector machines or neural networks. Expand
  • 12
  • 1
  • PDF
Author Clustering based on Compression-based Dissimilarity Scores
TLDR
The PAN 2017 Author Clustering task examines the two application scenarios complete author clustering and authorship-link ranking. Expand
  • 7
  • 1
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Cross-Domain Authorship Attribution Based on Compression: Notebook for PAN at CLEF 2018
TLDR
We present a lightweight authorship attribution approach named COBAA ("Compression-Based Authorship Attribution") which is an attempt to answer this question. Expand
  • 4
  • 1
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An Improved Topic Masking Technique for Authorship Analysis
TLDR
We propose an effective technique called POSNoise, which aims to mask topic-related content in documents and show that it is able to outperform a well-known topic masking approach. Expand
  • 2
  • 1
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Data Corpora for Digital Forensics Education and Research
TLDR
Data corpora are very important for digital forensics education and research. Expand
  • 10
Assessing the Applicability of Authorship Verification Methods
TLDR
We propose criteria and properties to improve the characterization of existing and future AV approaches, including the current state-of-the-art. Expand
  • 8
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A Step Towards Interpretable Authorship Verification
TLDR
A central problem that has been researched for many years in the field of digital text forensics is the question whether two documents were written by the same author. Expand
  • 2
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