Role-based model for Named Entity Recognition

Calleja-Ibañez, Pablo, García-Castro, Raúl, Aguado de Cea, Guadalupe ORCID: and Gómez-Pérez, A. ORCID: (2017). Role-based model for Named Entity Recognition. In: "RANLP 2017", 4-6 -Sep 2017, Barna, Bulgaria. ISBN 978-954-452-048-9. pp. 149-156.


Title: Role-based model for Named Entity Recognition
Item Type: Presentation at Congress or Conference (Article)
Event Title: RANLP 2017
Event Dates: 4-6 -Sep 2017
Event Location: Barna, Bulgaria
Title of Book: Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017
Date: 2017
ISBN: 978-954-452-048-9
Volume: 1
Faculty: E.T.S. de Ingenieros Informáticos (UPM)
Department: Inteligencia Artificial
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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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.

Funding Projects

Government of Spain
TIN2016-78011- C4-4-R

More information

Item ID: 72467
DC Identifier:
OAI Identifier:
DOI: 10.26615/978-954-452-049-6_021
Official URL:
Deposited by: Biblioteca Facultad de Informatica
Deposited on: 30 Jan 2023 12:00
Last Modified: 30 Jan 2023 12:00
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