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heterarchical structures

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papersTODAY 04:00 UTC

Interpretable Recognition of Cognitive Distortions in Natural Language Texts

A new arXiv paper proposes classifying natural language texts along multiple factors using weighted structured patterns such as N-grams, while accounting for heterarchical rather than strictly hierarchical links between those patterns. The authors apply the method to detecting cognitive distortions, framing it as a socially impactful task, and emphasize that the approach keeps the decision process interpretable. The work appears as a cross-listed replacement submission in arXiv cs.AI and cs.LG.

nlp/interpretability/classification/mental-health