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Weakly-supervised multilingual medical NER for symptom extraction for low-resource languages
Rigon Sallauka, Umut Arioz, Matej Rojc, Izidor Mlakar
Izvirni znanstveni članek
Oznake: low-resource languages;machine translation;medical entity extraction;NER;NLP;patient-reported outcomes;weakly-supervised learning;
Patient-reported health data, especially patient-reported outcomes measures, are vital for improving clinical care but are often limited by memory bias, cognitive load, and inflexible questionnaires. Patients prefer conversational symptom reporting, highlighting the need for robust methods in sympto ...
Leto: 2025 Vir: Fakulteta za elektrotehniko, računalništvo in informatiko (UM FERI)
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