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Data-driven Methods of Extracting Text Structure and Information Transfer

arXiv 2509.12999 ↗First posted 16 Sep 2025cs.AI cs.LGcited by 0

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Abstract (arXiv)

The Anna Karenina Principle (AKP) holds that success requires satisfying a small set of essential conditions, whereas failure takes diverse forms. We test AKP, its reverse, and two further patterns described as ordered and noisy across novels, online encyclopedias, research papers, and movies. Texts are represented as sequences of functional blocks, and convergence is assessed in transition order and position. Results show that structural principles vary by medium: novels follow reverse AKP in order, Wikipedia combines AKP with ordered patterns, academic papers display reverse AKP in order but remain noisy in position, and movies diverge by genre. Success therefore depends on structural constraints that are specific to each medium, while failure assumes different shapes across domains.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 3 of its 22 references that are in the map. First posted on arXiv 16 Sep 2025.

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References · 3

  1. 2017Adversarial Multi-task Learning for Text Classificationcited by 91
  2. 2016The emotional arcs of stories are dominated by six basic shapescited by 71
  3. 2022DiscoScore: Evaluating Text Generation with BERT and Discourse Coherencecited by 36

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