Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Role-based model for Named Entity Recognition
Year:2017
Research Areas
  • Information technology and adata processing
Information
Abstract
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.
International
Si
Congress
Recent Advances in Natural Language Processing, RANLP 2017
960
Place
Varna, Bulgaria
Reviewers
Si
ISBN/ISSN
1313-8502
10.26615/978-954-452-049-6_021
Start Date
04/09/2017
End Date
06/09/2017
From page
149
To page
156
Role-based model for Named Entity Recognition
Participants
  • Autor: Pablo Calleja Ibañez (UPM)
  • Autor: Raul Garcia Castro (UPM)
  • Autor: Guadalupe Aguado De Cea (UPM)
  • Autor: Asuncion de Maria Gomez Perez (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Ontology Engineering Group
  • Departamento: Inteligencia Artificial
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