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Context-Aware Explanations for Spatialized Document Layouts

cs.HC · 2026-06-26 · unverdicted · novelty 6.0

CAPE produces spatially grounded natural-language explanations for document layouts using pattern detection and multi-level context, rated more helpful than content-only baselines in a user study.

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  • Information Terra: A Narrative-Anchored Semantic-First Projection of Document Embeddings cs.HC · 2026-06-29 · unverdicted · none · ref 27

    Information Terra projects document embeddings onto a globe with poles as narrative endpoints, latitude as progress along the geodesic, and longitude as thematic deviation, with density-based land features and a monotone narrative trail, demonstrated on a 540-article Cuban protests corpus.

  • Context-Aware Explanations for Spatialized Document Layouts cs.HC · 2026-06-26 · unverdicted · none · ref 53

    CAPE produces spatially grounded natural-language explanations for document layouts using pattern detection and multi-level context, rated more helpful than content-only baselines in a user study.