Identification of disease symptoms in multilingual sentences: An ontology-driven approach
Contributo in Atti di convegno
Data di Pubblicazione:
2016
Citazione:
Identification of disease symptoms in multilingual sentences: An ontology-driven approach / Ferrando, Angelo; Beux, Silvio; Mascardi, Viviana; Rosso, Paolo. - 1589:(2016), pp. 6-15. ( 1st Workshop on Modeling, Learning and Mining for Cross/Multilinguality, MultiLingMine 2016 Padova 20 marzo 2016).
Abstract:
In this paper we present a Multilingual Ontology-Driven framework for Text Classification (MOoD-TC). This framework is highly modular and can be customized to create applications based on Multilingual Natural Language Processing for classifying domain-dependent contents. In order to show the potential of MOoD-TC, we present a case study in the e-Health domain.
Tipologia CRIS:
Relazione in Atti di Convegno
Keywords:
Babelnet; Multilingual natural language processing; Ontology-driven text classification; Symptom disease identification; Computer Science (all)
Elenco autori:
Ferrando, Angelo; Beux, Silvio; Mascardi, Viviana; Rosso, Paolo
Link alla scheda completa:
Titolo del libro:
CEUR Workshop Proceedings
Pubblicato in: