TriagE-NLU: A Natural Language Understanding System for Clinical Triage and Intervention in Multilingual Emergency Dialogues

Telemedicine in emergency contexts presents unique challenges, particularly in multilingual and low-resource settings where accurate, clinical understanding and triage decision support are critical. This paper introduces TriagE-NLU, a novel multilingual natural language understanding system designed...

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Autors principals:	Béatrix-May Balaban, Ioan Sacală, Alina-Claudia Petrescu-Niţă
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2025-07-01
Col·lecció:	Future Internet
Matèries:	multilingual NLP emergency telemedicine semantic parsing intervention classification federated learning low-resource languages
Accés en línia:	https://www.mdpi.com/1999-5903/17/7/314
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