Information extraction with active learning : a case study in legal text

Active learning has been successfully applied to a number of NLP tasks. In this paper, we present a study on Information Extraction for natural language licenses that need to be translated to RDF. The final purpose of our work is to automatically extract from a natural language document specifying a...

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Detalles Bibliográficos
Autores principales: Cardellino, Cristian Adrián, Villata, Serena, Alonso i Alemany, Laura, Cabrio, Elena
Formato: article
Lenguaje:Inglés
Publicado: 2022
Materias:
Active learning
Natural language processing
Ontology-based information extraction
Acceso en línea:http://hdl.handle.net/11086/27448
Aporte de:
Repositorio Digital Universitario (UNC) de Universidad Nacional de Córdoba

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