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New metrics offer interpretable approaches to authorship attribution

By PulseAugur Editorial · [1 sources] ·

Researchers have introduced two novel metrics, Rank-Turbulence Delta and Jensen-Shannon Delta, to enhance authorship attribution by generalizing classical Delta methods. These new measures utilize distance functions designed for probabilistic distributions, offering a more interpretable approach to analyzing word-frequency vectors. The effectiveness of these metrics was demonstrated across literary corpora in English, German, French, and Russian, with Jensen-Shannon Delta consistently matching or surpassing the performance of established methods. AI

IMPACT Introduces new quantitative methods for stylometric analysis, potentially aiding in the interpretation of text generation models.

RANK_REASON Academic paper introducing new metrics for authorship attribution.

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New metrics offer interpretable approaches to authorship attribution

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Academic paper introducing new metrics for authorship attribution.
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Dmitry Pronin, Evgeny Kazartsev ·

    Rank-Turbulence Delta and Interpretable Approaches to Stylometric Delta Metrics

    arXiv:2604.19499v3 Announce Type: replace Abstract: This article introduces two new measures for authorship attribution - Rank-Turbulence Delta and Jensen-Shannon Delta - which generalise Burrows's classical Delta by applying distance functions designed for probabilistic distribu…

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