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NarraSpace: Multimodal Scene-Grounded Evidence for Picture-Description Dementia Classification

Paper recorded by Signals 4 on 2026-10-20 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-20 on arXiv · recorded by Signals 4 on 2026-10-21

Category: cs.CL · 自然语言处理 · first seen 2026-10-21

Abstract

Picture-description dementia classification uses a shared visual scene, but a transcript-level prediction alone does not identify the scene evidence underlying its inputs. NarraSpace links words and speech times to named picture elements and retrieves utterances for predefined scene events. Narrative-spatial descriptors summarize coverage and temporal organization. A frozen language model contrast

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#190 most recent of 660 cs.CL papers we have recorded · ↑ newer: Task-Preserving Multilingual Instruction Tuning for Open-Ended QA in W · ↓ older: Cache Engineering for Agents
Cite this page: NarraSpace: Multimodal Scene-Grounded Evidence for Picture-Description Dementia Classification: the #190 most recent of 660 cs.CL papers we have recorded (as of 2026-10-20). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/narraspace-multimodal-scene-grounded-evidence-for-picture-description-dementia-c.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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