Meta-Semantic Representation for Early Detection of Alzheimer's Disease

WS 2019 Jinho D. ChoiMengmei LiFelicia GoldsteinIhab Hajjar

This paper presents a new task-oriented meaning representation called meta-semantics, that is designed to detect patients with early symptoms of Alzheimer{'}s disease by analyzing their language beyond a syntactic or semantic level. Meta-semantic representation consists of three parts, entities, predicate argument structures, and discourse attributes, that derive rich knowledge graphs... (read more)

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