Qingming Li, Ruiyan Sun, Satoshi Nakamura · 2026 · arXiv
DOI: 10.48550/arXiv.2610.28616 · open-access PDF
图像描述痴呆症分类使用共享的视觉场景,但单靠转录级预测无法识别其输入的场景证据。NarraSpace将单词和语音时间链接到命名的图像元素,并获取预定义的场景事件的发音。叙述空间描述器概括覆盖和时间组织。一个冷冻语言模型以阿尔茨海默病和健康控制培训参与者的示例对每个事件的文本进行对比,以及转录惊喜和覆盖测量。
Machine translation (Meta M2M100); the English original follows.
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 contrasts each event's text under examples from Alzheimer's disease and healthy-control training participants, alongside transcript surprisal and coverage measurements. Retained source records link event scor
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