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Memorias de investigación
Ponencias en congresos:
Role-based model for Named Entity Recognition
Año:2017
Áreas de investigación
  • Ciencias de la computación y tecnología informática
Datos
Descripción
Named Entity Recognition (NER) poses new challenges in real-world documents in which there are entities with different roles according to their purpose or meaning. Retrieving all the possible entities in scenarios in which only a subset of them based on their role is needed, produces noise on the overall precision. This work proposes a NER model that relies on role classification models that support recognizing entities with a specific role. The proposed model has been implemented in two use cases using Spanish drug Summary of Product Characteristics: identification of therapeutic indications and identification of adverse reactions. The results show how precision is increased using a NER model that is oriented towards a specific role and discards entities out of scope.
Internacional
Si
Nombre congreso
Recent Advances in Natural Language Processing, RANLP 2017
Tipo de participación
960
Lugar del congreso
Varna, Bulgaria
Revisores
Si
ISBN o ISSN
1313-8502
DOI
10.26615/978-954-452-049-6_021
Fecha inicio congreso
04/09/2017
Fecha fin congreso
06/09/2017
Desde la página
149
Hasta la página
156
Título de las actas
Role-based model for Named Entity Recognition
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Pablo Calleja Ibañez (UPM)
  • Autor: Raul Garcia Castro (UPM)
  • Autor: Guadalupe Aguado De Cea (UPM)
  • Autor: Asuncion de Maria Gomez Perez (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Ontology Engineering Group
  • Departamento: Inteligencia Artificial
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